var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"bib\":\"https://clulab.github.io/clulab_publications.bib\",\"fullnames\":\"1\\\"></script>\",\"jsonp\":\"1\",\"host\":\"bibbase.org\",\"ssl\":false},\n      data: [{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Ligaj\"],\"propositions\":[],\"lastnames\":[\"Pradhan\"],\"suffixes\":[]},{\"firstnames\":[\"Chengcui\"],\"propositions\":[],\"lastnames\":[\"Zhang\"],\"suffixes\":[]},{\"firstnames\":[\"Steven\"],\"propositions\":[],\"lastnames\":[\"Bethard\"],\"suffixes\":[]},{\"firstnames\":[\"Xin\"],\"propositions\":[],\"lastnames\":[\"Chen\"],\"suffixes\":[]}],\"booktitle\":\"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)\",\"title\":\"Embedding User Behavioral Aspect in TF-IDF Like Representation\",\"year\":\"2018\",\"volume\":\"\",\"number\":\"\",\"pages\":\"262-267\",\"keywords\":\"information retrieval, recommender systems\",\"url\":\"http://doi.org/10.1109/MIPR.2018.00061\",\"issn\":\"\",\"month\":\"4\",\"note\":\"[Acceptance rate 20%]\",\"bibtex\":\"@INPROCEEDINGS{8397017,\\nauthor={Ligaj Pradhan and Chengcui Zhang and Steven Bethard and Xin Chen},\\nbooktitle={2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)},\\ntitle={Embedding User Behavioral Aspect in TF-IDF Like Representation},\\nyear={2018},\\nvolume={},\\nnumber={},\\npages={262-267},\\nkeywords={information retrieval, recommender systems},\\nurl={http://doi.org/10.1109/MIPR.2018.00061},\\nISSN={},\\nmonth={4},\\nnote = {[Acceptance rate 20\\\\%]},\\n}\\n\",\"author_short\":[\"Pradhan, L.\",\"Zhang, C.\",\"Bethard, S.\",\"Chen, X.\"],\"key\":\"8397017\",\"id\":\"8397017\",\"bibbaseid\":\"pradhan-zhang-bethard-chen-embeddinguserbehavioralaspectintfidflikerepresentation-2018\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://doi.org/10.1109/MIPR.2018.00061\"},\"keyword\":[\"information retrieval\",\"recommender systems\"],\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Rezaei\"],\"firstnames\":[\"MohammadHossein\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Blanco\"],\"firstnames\":[\"Eduardo\"],\"suffixes\":[]}],\"title\":\"Making Language Models Robust Against Negation\",\"booktitle\":\"Proceedings of the 2025 Conference of the Nations of America Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)\",\"month\":\"April\",\"year\":\"2025\",\"address\":\"Albuquerque, New Mexico, USA\",\"publisher\":\"Association for Computational Linguistics\",\"pages\":\"\",\"abstract\":\"Negation has been a long-standing challenge for language models. Previous studies have shown that they struggle with negation in many natural language understanding tasks. In this work, we propose a self-supervised method to make language models more robust against negation. We introduce a novel task, Next Sentence Polarity Prediction (NSPP), and a variation of the Next Sentence Prediction (NSP) task. We show that RoBERTa and BERT further pre-trained on our tasks outperform the off-the-shelf transformer models on eight negation-related benchmarks. Most notably, the pretrainings yield between 1.8% and 9.1% improvement on CondaQA, a large question-answering corpus requiring reasoning over negation.\",\"url\":\"https://arxiv.org/pdf/2502.07717\",\"bibtex\":\"@inproceedings{rezaei-blanco-2024-paraphrasing,\\n  author    = {Rezaei, MohammadHossein  and  Blanco, Eduardo},\\n  title     = {Making Language Models Robust Against Negation},\\n  booktitle      = {Proceedings of the 2025 Conference of the Nations of America Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},\\n  month          = {April},\\n  year           = {2025},\\n  address        = {Albuquerque, New Mexico, USA},\\n  publisher      = {Association for Computational Linguistics},\\n  pages     = {},\\n  abstract  = {Negation has been a long-standing challenge for language models. Previous studies have shown that they struggle with negation in many natural language understanding tasks. In this work, we propose a self-supervised method to make language models more robust against negation. We introduce a novel task, Next Sentence Polarity Prediction (NSPP), and a variation of the Next Sentence Prediction (NSP) task. We show that RoBERTa and BERT further pre-trained on our tasks outperform the off-the-shelf transformer models on eight negation-related benchmarks. Most notably, the pretrainings yield between 1.8% and 9.1% improvement on CondaQA, a large question-answering corpus requiring reasoning over negation.},\\n  url       = {https://arxiv.org/pdf/2502.07717}\\n}\\n\\n\",\"author_short\":[\"Rezaei, M.\",\"Blanco, E.\"],\"key\":\"rezaei-blanco-2024-paraphrasing\",\"id\":\"rezaei-blanco-2024-paraphrasing\",\"bibbaseid\":\"rezaei-blanco-makinglanguagemodelsrobustagainstnegation-2025\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/pdf/2502.07717\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing\",\"author\":[{\"firstnames\":[\"Vlad\"],\"propositions\":[],\"lastnames\":[\"Negru\"],\"suffixes\":[]},{\"firstnames\":[\"Robert\"],\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"suffixes\":[]},{\"firstnames\":[\"Camelia\"],\"propositions\":[],\"lastnames\":[\"Lemnaru\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]},{\"firstnames\":[\"Rodica\"],\"propositions\":[],\"lastnames\":[\"Potolea\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)\",\"year\":\"2025\",\"url\":\"https://arxiv.org/abs/2502.09567\",\"abstract\":\"We introduce MorphNLI, a modular step-by-step approach to natural language inference (NLI). When classifying the premise-hypothesis pairs into entailment, contradiction, neutral, we use a language model to generate the necessary edits to incrementally transform (i.e., morph) the premise into the hypothesis. Then, using an off-the-shelf NLI model we track how the entailment progresses with these atomic changes, aggregating these intermediate labels into a final output. We demonstrate the advantages of our proposed method particularly in realistic cross-domain settings, where our method always outperforms strong baselines with improvements up to 12.6% (relative). Further, our proposed approach is explainable as the atomic edits can be used to understand the overall NLI label.\",\"bibtex\":\"@inproceedings{negru-et-al-naacl2025-morphnli,\\n    title = \\\"MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing\\\",\\n    author = \\\"Vlad Negru and Robert Vacareanu and Camelia Lemnaru and Mihai Surdeanu and Rodica Potolea\\\",\\n    booktitle = \\\"Findings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)\\\",\\n    year = \\\"2025\\\",\\n    url = \\\"https://arxiv.org/abs/2502.09567\\\",\\n    abstract = \\\"We introduce MorphNLI, a modular step-by-step approach to natural language inference (NLI). When classifying the premise-hypothesis pairs into {entailment, contradiction, neutral}, we use a language model to generate the necessary edits to incrementally transform (i.e., morph) the premise into the hypothesis. Then, using an off-the-shelf NLI model we track how the entailment progresses with these atomic changes, aggregating these intermediate labels into a final output. We demonstrate the advantages of our proposed method particularly in realistic cross-domain settings, where our method always outperforms strong baselines with improvements up to 12.6% (relative). Further, our proposed approach is explainable as the atomic edits can be used to understand the overall NLI label.\\\",\\n}\\n\\n\",\"author_short\":[\"Negru, V.\",\"Vacareanu, R.\",\"Lemnaru, C.\",\"Surdeanu, M.\",\"Potolea, R.\"],\"key\":\"negru-et-al-naacl2025-morphnli\",\"id\":\"negru-et-al-naacl2025-morphnli\",\"bibbaseid\":\"negru-vacareanu-lemnaru-surdeanu-potolea-morphnliastepwiseapproachtonaturallanguageinferenceusingtextmorphing-2025\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/abs/2502.09567\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Noriega-Atala\"],\"firstnames\":[\"Enrique\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"firstnames\":[\"Robert\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ashton\"],\"firstnames\":[\"Salena\",\"Torres\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pyarelal\"],\"firstnames\":[\"Adarsh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Morrison\"],\"firstnames\":[\"Clayton\",\"T\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Al-Onaizan\"],\"firstnames\":[\"Yaser\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bansal\"],\"firstnames\":[\"Mohit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chen\"],\"firstnames\":[\"Yun-Nung\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: EMNLP 2024\",\"month\":\"November\",\"year\":\"2024\",\"address\":\"Miami, Florida, USA\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2024.findings-emnlp.219/\",\"doi\":\"10.18653/v1/2024.findings-emnlp.219\",\"pages\":\"3821–3829\",\"abstract\":\"We introduce a neural architecture finetuned for the task of scenario context generation: The relevant location and time of an event or entity mentioned in text. Contextualizing information extraction helps to scope the validity of automated finings when aggregating them as knowledge graphs. Our approach uses a high-quality curated dataset of time and location annotations in a corpus of epidemiology papers to train an encoder-decoder architecture. We also explored the use of data augmentation techniques during training. Our findings suggest that a relatively small fine-tuned encoder-decoder model performs better than out-of-the-box LLMs and semantic role labeling parsers to accurate predict the relevant scenario information of a particular entity or event.\",\"bibtex\":\"@inproceedings{noriega-atala-etal-2024-happen,\\n    title = \\\"When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context\\\",\\n    author = \\\"Noriega-Atala, Enrique  and\\n      Vacareanu, Robert  and\\n      Ashton, Salena Torres  and\\n      Pyarelal, Adarsh  and\\n      Morrison, Clayton T  and\\n      Surdeanu, Mihai\\\",\\n    editor = \\\"Al-Onaizan, Yaser  and\\n      Bansal, Mohit  and\\n      Chen, Yun-Nung\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: EMNLP 2024\\\",\\n    month = nov,\\n    year = \\\"2024\\\",\\n    address = \\\"Miami, Florida, USA\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2024.findings-emnlp.219/\\\",\\n    doi = \\\"10.18653/v1/2024.findings-emnlp.219\\\",\\n    pages = \\\"3821--3829\\\",\\n    abstract = \\\"We introduce a neural architecture finetuned for the task of scenario context generation: The relevant location and time of an event or entity mentioned in text. Contextualizing information extraction helps to scope the validity of automated finings when aggregating them as knowledge graphs. Our approach uses a high-quality curated dataset of time and location annotations in a corpus of epidemiology papers to train an encoder-decoder architecture. We also explored the use of data augmentation techniques during training. Our findings suggest that a relatively small fine-tuned encoder-decoder model performs better than out-of-the-box LLMs and semantic role labeling parsers to accurate predict the relevant scenario information of a particular entity or event.\\\"\\n}\\n\\n\",\"author_short\":[\"Noriega-Atala, E.\",\"Vacareanu, R.\",\"Ashton, S. T.\",\"Pyarelal, A.\",\"Morrison, C. T\",\"Surdeanu, M.\"],\"editor_short\":[\"Al-Onaizan, Y.\",\"Bansal, M.\",\"Chen, Y.\"],\"key\":\"noriega-atala-etal-2024-happen\",\"id\":\"noriega-atala-etal-2024-happen\",\"bibbaseid\":\"noriegaatala-vacareanu-ashton-pyarelal-morrison-surdeanu-whenandwheredidithappenanencoderdecodermodeltoidentifyscenariocontext-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2024.findings-emnlp.219/\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"misc\",\"type\":\"misc\",\"title\":\"Finding a Wolf in Sheep's Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization\",\"author\":[{\"firstnames\":[\"Portia\"],\"propositions\":[],\"lastnames\":[\"Cooper\"],\"suffixes\":[]},{\"firstnames\":[\"Harshita\"],\"propositions\":[],\"lastnames\":[\"Narnoli\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"year\":\"2024\",\"eprint\":\"2412.12212\",\"archiveprefix\":\"arXiv\",\"primaryclass\":\"cs.CR\",\"url\":\"https://arxiv.org/abs/2412.12212\",\"bibtex\":\"@misc{cooper2024findingwolfsheepsclothing,\\n      title={Finding a Wolf in Sheep's Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization}, \\n      author={Portia Cooper and Harshita Narnoli and Mihai Surdeanu},\\n      year={2024},\\n      eprint={2412.12212},\\n      archivePrefix={arXiv},\\n      primaryClass={cs.CR},\\n      url={https://arxiv.org/abs/2412.12212}, \\n}\\n\\n\",\"author_short\":[\"Cooper, P.\",\"Narnoli, H.\",\"Surdeanu, M.\"],\"key\":\"cooper2024findingwolfsheepsclothing\",\"id\":\"cooper2024findingwolfsheepsclothing\",\"bibbaseid\":\"cooper-narnoli-surdeanu-findingawolfinsheepsclothingcombatingadversarialtexttoimagepromptswithtextsummarization-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/abs/2412.12212\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Classify First, and Then Extract: Prompt Chaining Technique for Information Extraction\",\"author\":[{\"firstnames\":[\"Alice\"],\"propositions\":[],\"lastnames\":[\"Kwak\"],\"suffixes\":[]},{\"firstnames\":[\"Clayton\"],\"propositions\":[],\"lastnames\":[\"Morrison\"],\"suffixes\":[]},{\"firstnames\":[\"Derek\"],\"propositions\":[],\"lastnames\":[\"Bambauer\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Natural Legal Language Processing Workshop 2024\",\"month\":\"November\",\"year\":\"2024\",\"url\":\"https://clulab.org/papers/nllp2024_kwak-et-al.pdf\",\"abstract\":\"This work presents a new task-aware prompt design and example retrieval approach for information extraction (IE) using a prompt chaining technique. Our approach divides IE tasks into two steps: (1) text classification to understand what information (e.g., entity or event types) is contained in the underlying text and (2) information extraction for the identified types. Initially, we use a large language model (LLM) in a few-shot setting to classify the contained information. The classification output is used to select the relevant prompt and retrieve the examples relevant to the input text. Finally, we ask a LLM to do the information extraction with the generated prompt. By evaluating our approach on legal IE tasks with two different LLMs, we demonstrate that the prompt chaining technique improves the LLM’s overall performance in a few-shot setting when compared to the baseline in which examples from all possible classes are included in the prompt. Our approach can be used in a low-resource setting as it does not require a large amount of training data. Also, it can be easily adapted to many different IE tasks by simply adjusting the prompts. Lastly, it provides a cost benefit by reducing the number of tokens in the prompt.\",\"bibtex\":\"@inproceedings{kwak-et-al-nllp2024-error-analysis,\\n    title = \\\"Classify First, and Then Extract: Prompt Chaining Technique for Information Extraction\\\",\\n    author = \\\"Alice Kwak and Clayton Morrison and Derek Bambauer and Mihai Surdeanu\\\",\\n    booktitle = \\\"Proceedings of the Natural Legal Language Processing Workshop 2024\\\",\\n    month = nov,\\n    year = \\\"2024\\\",\\n    url = \\\"https://clulab.org/papers/nllp2024_kwak-et-al.pdf\\\",\\n    abstract = \\\"This work presents a new task-aware prompt design and example retrieval approach for information extraction (IE) using a prompt chaining technique. Our approach divides IE tasks into two steps: (1) text classification to understand what information (e.g., entity or event types) is contained in the underlying text and (2) information extraction for the identified types. Initially, we use a large language model (LLM) in a few-shot setting to classify the contained information. The classification output is used to select the relevant prompt and retrieve the examples relevant to the input text. Finally, we ask a LLM to do the information extraction with the generated prompt. By evaluating our approach on legal IE tasks with two different LLMs, we demonstrate that the prompt chaining technique improves the LLM’s overall performance in a few-shot setting when compared to the baseline in which examples from all possible classes are included in the prompt. Our approach can be used in a low-resource setting as it does not require a large amount of training data. Also, it can be easily adapted to many different IE tasks by simply adjusting the prompts. Lastly, it provides a cost benefit by reducing the number of tokens in the prompt.\\\",\\n}\\n\\n\",\"author_short\":[\"Kwak, A.\",\"Morrison, C.\",\"Bambauer, D.\",\"Surdeanu, M.\"],\"key\":\"kwak-et-al-nllp2024-error-analysis\",\"id\":\"kwak-et-al-nllp2024-error-analysis\",\"bibbaseid\":\"kwak-morrison-bambauer-surdeanu-classifyfirstandthenextractpromptchainingtechniqueforinformationextraction-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://clulab.org/papers/nllp2024_kwak-et-al.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Singh\"],\"firstnames\":[\"Mayank\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Blanco\"],\"firstnames\":[\"Eduardo\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: EMNLP 2024\",\"month\":\"November\",\"year\":\"2024\",\"address\":\"Miami, USA and virtual meeting\",\"publisher\":\"Association for Computational Linguistics\",\"abstract\":\"We propose a neuro-symbolic approach for realistic few-shot relation classification via rules. Instead of building neural models to predict relations, we design them to output straightforward rules that can be used to extract relations. The rules are generated using custom T5-style Encoder-Decoder Language Models. Crucially, our rules are fully interpretable and pliable (i.e., humans can easily modify them to boost performance). Through a combination of rules generated by these models along with a very effective, novel baseline, we demonstrate a few-shot relation-classification performance that is comparable to or stronger than the state of the art on the Few-Shot TACRED and NYT29 benchmarks while increasing interpretability and maintaining pliability.\",\"bibtex\":\"@inproceedings{singh-2024-learning,\\n    title = \\\"Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach\\\",\\n    author = \\\"Singh, Mayank and Blanco, Eduardo\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: EMNLP 2024\\\",\\n    month = nov,\\n    year = \\\"2024\\\",\\n    address = \\\"Miami, USA and virtual meeting\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    abstract = \\\"We propose a neuro-symbolic approach for realistic few-shot relation classification via rules. Instead of building neural models to predict relations, we design them to output straightforward rules that can be used to extract relations. The rules are generated using custom T5-style Encoder-Decoder Language Models. Crucially, our rules are fully interpretable and pliable (i.e., humans can easily modify them to boost performance). Through a combination of rules generated by these models along with a very effective, novel baseline, we demonstrate a few-shot relation-classification performance that is comparable to or stronger than the state of the art on the Few-Shot TACRED and NYT29 benchmarks while increasing interpretability and maintaining pliability.\\\",\\n}\\n\\n\",\"author_short\":[\"Singh, M.\",\"Blanco, E.\"],\"key\":\"singh-2024-learning\",\"id\":\"singh-2024-learning\",\"bibbaseid\":\"singh-blanco-learningtogeneraterulesforrealisticfewshotrelationclassificationanencoderdecoderapproach-2024\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Paraphrasing in Affirmative Terms Improves Negation Understanding\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Rezaei\"],\"firstnames\":[\"MohammadHossein\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Blanco\"],\"firstnames\":[\"Eduardo\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Ku\"],\"firstnames\":[\"Lun-Wei\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Martins\"],\"firstnames\":[\"Andre\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Srikumar\"],\"firstnames\":[\"Vivek\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)\",\"month\":\"August\",\"year\":\"2024\",\"address\":\"Bangkok, Thailand\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2024.acl-short.55/\",\"doi\":\"10.18653/v1/2024.acl-short.55\",\"pages\":\"602–615\",\"abstract\":\"Negation is a common linguistic phenomenon. Yet language models face challenges with negation in many natural language understanding tasks such as question answering and natural language inference. In this paper, we experiment with seamless strategies that incorporate affirmative interpretations (i.e., paraphrases without negation) to make models more robust against negation. Crucially, our affirmative interpretations are obtained automatically. We show improvements with CondaQA, a large corpus requiring reasoning with negation, and five natural language understanding tasks.\",\"bibtex\":\"@inproceedings{rezaei-blanco-2024-paraphrasing,\\n    title = \\\"Paraphrasing in Affirmative Terms Improves Negation Understanding\\\",\\n    author = \\\"Rezaei, MohammadHossein  and\\n      Blanco, Eduardo\\\",\\n    editor = \\\"Ku, Lun-Wei  and\\n      Martins, Andre  and\\n      Srikumar, Vivek\\\",\\n    booktitle = \\\"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)\\\",\\n    month = aug,\\n    year = \\\"2024\\\",\\n    address = \\\"Bangkok, Thailand\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2024.acl-short.55/\\\",\\n    doi = \\\"10.18653/v1/2024.acl-short.55\\\",\\n    pages = \\\"602--615\\\",\\n    abstract = \\\"Negation is a common linguistic phenomenon. Yet language models face challenges with negation in many natural language understanding tasks such as question answering and natural language inference. In this paper, we experiment with seamless strategies that incorporate affirmative interpretations (i.e., paraphrases without negation) to make models more robust against negation. Crucially, our affirmative interpretations are obtained automatically. We show improvements with CondaQA, a large corpus requiring reasoning with negation, and five natural language understanding tasks.\\\"\\n}\\n\\n\",\"author_short\":[\"Rezaei, M.\",\"Blanco, E.\"],\"editor_short\":[\"Ku, L.\",\"Martins, A.\",\"Srikumar, V.\"],\"key\":\"rezaei-blanco-2024-paraphrasing-1\",\"id\":\"rezaei-blanco-2024-paraphrasing-1\",\"bibbaseid\":\"rezaei-blanco-paraphrasinginaffirmativetermsimprovesnegationunderstanding-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2024.acl-short.55/\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Sanayei\"],\"firstnames\":[\"Reza\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Singh\"],\"firstnames\":[\"Abhyuday\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rezaei\"],\"firstnames\":[\"Mohammadhossein\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bethard\"],\"firstnames\":[\"Steven\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Ojha\"],\"firstnames\":[\"Atul\",\"Kr.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Doğruöz\"],\"firstnames\":[\"A.\",\"Seza\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tayyar\",\"Madabushi\"],\"firstnames\":[\"Harish\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Da\",\"San\",\"Martino\"],\"firstnames\":[\"Giovanni\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rosenthal\"],\"firstnames\":[\"Sara\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rosá\"],\"firstnames\":[\"Aiala\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)\",\"month\":\"June\",\"year\":\"2024\",\"address\":\"Mexico City, Mexico\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2024.semeval-1.225\",\"pages\":\"1584–1588\",\"abstract\":\"The advent of large language models (LLMs) has revolutionized Natural Language Generation (NLG), offering unmatched text generation capabilities. However, this progress introduces significant challenges, notably hallucinations—semantically incorrect yet fluent outputs. This phenomenon undermines content reliability, as traditional detection systems focus more on fluency than accuracy, posing a risk of misinformation spread.Our study addresses these issues by proposing a unified strategy for detecting hallucinations in neural model-generated text, focusing on the SHROOM task in SemEval 2024. We employ diverse methodologies to identify output divergence from the source content. We utilized Sentence Transformers to measure cosine similarity between source-hypothesis and source-target embeddings, experimented with omitting source content in the cosine similarity computations, and Leveragied LLMs' In-Context Learning with detailed task prompts as our methodologies. The varying performance of our different approaches across the subtasks underscores the complexity of Natural Language Understanding tasks, highlighting the importance of addressing the nuances of semantic correctness in the era of advanced language models.\",\"bibtex\":\"@inproceedings{sanayei-etal-2024-maria,\\n    title = \\\"{MAR}i{A} at {S}em{E}val 2024 Task-6: Hallucination Detection Through {LLM}s, {MNLI}, and Cosine similarity\\\",\\n    author = \\\"Sanayei, Reza  and\\n      Singh, Abhyuday  and\\n      Rezaei, Mohammadhossein  and\\n      Bethard, Steven\\\",\\n    editor = {Ojha, Atul Kr.  and\\n      Do{\\\\u{g}}ru{\\\\\\\"o}z, A. Seza  and\\n      Tayyar Madabushi, Harish  and\\n      Da San Martino, Giovanni  and\\n      Rosenthal, Sara  and\\n      Ros{\\\\'a}, Aiala},\\n    booktitle = \\\"Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)\\\",\\n    month = jun,\\n    year = \\\"2024\\\",\\n    address = \\\"Mexico City, Mexico\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2024.semeval-1.225\\\",\\n    pages = \\\"1584--1588\\\",\\n    abstract = \\\"The advent of large language models (LLMs) has revolutionized Natural Language Generation (NLG), offering unmatched text generation capabilities. However, this progress introduces significant challenges, notably hallucinations{---}semantically incorrect yet fluent outputs. This phenomenon undermines content reliability, as traditional detection systems focus more on fluency than accuracy, posing a risk of misinformation spread.Our study addresses these issues by proposing a unified strategy for detecting hallucinations in neural model-generated text, focusing on the SHROOM task in SemEval 2024. We employ diverse methodologies to identify output divergence from the source content. We utilized Sentence Transformers to measure cosine similarity between source-hypothesis and source-target embeddings, experimented with omitting source content in the cosine similarity computations, and Leveragied LLMs{'} In-Context Learning with detailed task prompts as our methodologies. The varying performance of our different approaches across the subtasks underscores the complexity of Natural Language Understanding tasks, highlighting the importance of addressing the nuances of semantic correctness in the era of advanced language models.\\\",\\n}\\n\\n\",\"author_short\":[\"Sanayei, R.\",\"Singh, A.\",\"Rezaei, M.\",\"Bethard, S.\"],\"editor_short\":[\"Ojha, A. K.\",\"Doğruöz, A. S.\",\"Tayyar Madabushi, H.\",\"Da San Martino, G.\",\"Rosenthal, S.\",\"Rosá, A.\"],\"key\":\"sanayei-etal-2024-maria\",\"id\":\"sanayei-etal-2024-maria\",\"bibbaseid\":\"sanayei-singh-rezaei-bethard-mariaatsemeval2024task6hallucinationdetectionthroughllmsmnliandcosinesimilarity-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2024.semeval-1.225\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Rezaei\"],\"firstnames\":[\"Mohammadhossein\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kwon\"],\"firstnames\":[\"Yeaeun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sanayei\"],\"firstnames\":[\"Reza\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Singh\"],\"firstnames\":[\"Abhyuday\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bethard\"],\"firstnames\":[\"Steven\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Ojha\"],\"firstnames\":[\"Atul\",\"Kr.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Doğruöz\"],\"firstnames\":[\"A.\",\"Seza\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tayyar\",\"Madabushi\"],\"firstnames\":[\"Harish\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Da\",\"San\",\"Martino\"],\"firstnames\":[\"Giovanni\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rosenthal\"],\"firstnames\":[\"Sara\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rosá\"],\"firstnames\":[\"Aiala\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)\",\"month\":\"June\",\"year\":\"2024\",\"address\":\"Mexico City, Mexico\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2024.semeval-1.215\",\"pages\":\"1498–1504\",\"abstract\":\"Detecting machine-generated text is a critical task in the era of large language models. In this paper, we present our systems for SemEval-2024 Task 8, which focuses on multi-class classification to discern between human-written and maching-generated texts by five state-of-the-art large language models. We propose three different systems: unsupervised text similarity, triplet-loss-trained text similarity, and text classification. We show that the triplet-loss trained text similarity system outperforms the other systems, achieving 80% accuracy on the test set and surpassing the baseline model for this subtask. Additionally, our text classification system, which takes into account sentence paraphrases generated by the candidate models, also outperforms the unsupervised text similarity system, achieving 74% accuracy.\",\"bibtex\":\"@inproceedings{rezaei-etal-2024-clulab,\\n    title = \\\"{CLUL}ab-{U}of{A} at {S}em{E}val-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification\\\",\\n    author = \\\"Rezaei, Mohammadhossein  and\\n      Kwon, Yeaeun  and\\n      Sanayei, Reza  and\\n      Singh, Abhyuday  and\\n      Bethard, Steven\\\",\\n    editor = {Ojha, Atul Kr.  and\\n      Do{\\\\u{g}}ru{\\\\\\\"o}z, A. Seza  and\\n      Tayyar Madabushi, Harish  and\\n      Da San Martino, Giovanni  and\\n      Rosenthal, Sara  and\\n      Ros{\\\\'a}, Aiala},\\n    booktitle = \\\"Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)\\\",\\n    month = jun,\\n    year = \\\"2024\\\",\\n    address = \\\"Mexico City, Mexico\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2024.semeval-1.215\\\",\\n    pages = \\\"1498--1504\\\",\\n    abstract = \\\"Detecting machine-generated text is a critical task in the era of large language models. In this paper, we present our systems for SemEval-2024 Task 8, which focuses on multi-class classification to discern between human-written and maching-generated texts by five state-of-the-art large language models. We propose three different systems: unsupervised text similarity, triplet-loss-trained text similarity, and text classification. We show that the triplet-loss trained text similarity system outperforms the other systems, achieving 80{\\\\%} accuracy on the test set and surpassing the baseline model for this subtask. Additionally, our text classification system, which takes into account sentence paraphrases generated by the candidate models, also outperforms the unsupervised text similarity system, achieving 74{\\\\%} accuracy.\\\",\\n}\\n\\n\",\"author_short\":[\"Rezaei, M.\",\"Kwon, Y.\",\"Sanayei, R.\",\"Singh, A.\",\"Bethard, S.\"],\"editor_short\":[\"Ojha, A. K.\",\"Doğruöz, A. S.\",\"Tayyar Madabushi, H.\",\"Da San Martino, G.\",\"Rosenthal, S.\",\"Rosá, A.\"],\"key\":\"rezaei-etal-2024-clulab\",\"id\":\"rezaei-etal-2024-clulab\",\"bibbaseid\":\"rezaei-kwon-sanayei-singh-bethard-clulabuofaatsemeval2024task8detectingmachinegeneratedtextusingtripletlosstrainedtextsimilarityandtextclassification-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2024.semeval-1.215\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":3,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Dumitru\"],\"firstnames\":[\"Razvan-Gabriel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Alexeeva\"],\"firstnames\":[\"Maria\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Alcock\"],\"firstnames\":[\"Keith\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ludgate\"],\"firstnames\":[\"Nargiza\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jeong\"],\"firstnames\":[\"Cheonkam\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Abdurahaman\"],\"firstnames\":[\"Zara\",\"Fatima\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Puri\"],\"firstnames\":[\"Prateek\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kirchhoff\"],\"firstnames\":[\"Brian\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sadhu\"],\"firstnames\":[\"Santadarshan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Sixth Workshop on NLP and Computational Social Science (at NAACL) 2024\",\"year\":\"2024\",\"url\":\"http://clulab.org/papers/naacl-css2024-rag.pdf\",\"bibtex\":\"@inproceedings{\\n  dumitru2024retrieval,\\n  title={Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios},\\n  author={Dumitru, Razvan-Gabriel and Alexeeva, Maria and Alcock, Keith and Ludgate, Nargiza and Jeong, Cheonkam and Abdurahaman, Zara Fatima and Puri, Prateek and Kirchhoff, Brian and Sadhu, Santadarshan and Surdeanu, Mihai},\\n  booktitle={Sixth Workshop on  NLP and Computational Social Science (at NAACL) 2024},\\n  year={2024},\\n  url={http://clulab.org/papers/naacl-css2024-rag.pdf}\\n}\\n\\n\",\"author_short\":[\"Dumitru, R.\",\"Alexeeva, M.\",\"Alcock, K.\",\"Ludgate, N.\",\"Jeong, C.\",\"Abdurahaman, Z. F.\",\"Puri, P.\",\"Kirchhoff, B.\",\"Sadhu, S.\",\"Surdeanu, M.\"],\"key\":\"dumitru2024retrieval\",\"id\":\"dumitru2024retrieval\",\"bibbaseid\":\"dumitru-alexeeva-alcock-ludgate-jeong-abdurahaman-puri-kirchhoff-etal-retrievalaugmentedgenerationofsubjectiveexplanationsforsocioeconomicscenarios-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/naacl-css2024-rag.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":5,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"General Purpose Verification for Chain of Thought Prompting\",\"author\":[{\"firstnames\":[\"Robert\"],\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"suffixes\":[]},{\"firstnames\":[\"Anurag\"],\"propositions\":[],\"lastnames\":[\"Pratik\"],\"suffixes\":[]},{\"firstnames\":[\"Evangelia\"],\"propositions\":[],\"lastnames\":[\"Spiliopoulou\"],\"suffixes\":[]},{\"firstnames\":[\"Zheng\"],\"propositions\":[],\"lastnames\":[\"Qi\"],\"suffixes\":[]},{\"firstnames\":[\"Giovanni\"],\"propositions\":[],\"lastnames\":[\"Paolini\"],\"suffixes\":[]},{\"firstnames\":[\"Neha\",\"Anna\"],\"propositions\":[],\"lastnames\":[\"John\"],\"suffixes\":[]},{\"firstnames\":[\"Jie\"],\"propositions\":[],\"lastnames\":[\"Ma\"],\"suffixes\":[]},{\"firstnames\":[\"Yassine\"],\"propositions\":[],\"lastnames\":[\"Benajiba\"],\"suffixes\":[]},{\"firstnames\":[\"Miguel\"],\"propositions\":[],\"lastnames\":[\"Ballesteros\"],\"suffixes\":[]}],\"journal\":\"ArXiv\",\"year\":\"2024\",\"volume\":\"abs/2405.00204\",\"url\":\"https://arxiv.org/pdf/2405.00204.pdf\",\"bibtex\":\"@article{Vacareanu2024GeneralVerificationLLM,\\n  title={General Purpose Verification for Chain of Thought Prompting},\\n  author={Robert Vacareanu and Anurag Pratik and Evangelia Spiliopoulou and Zheng Qi and Giovanni Paolini and Neha Anna John and Jie Ma and Yassine Benajiba and Miguel Ballesteros},\\n  journal={ArXiv},\\n  year={2024},\\n  volume={abs/2405.00204},\\n  url={https://arxiv.org/pdf/2405.00204.pdf}\\n}\\n\\n\",\"author_short\":[\"Vacareanu, R.\",\"Pratik, A.\",\"Spiliopoulou, E.\",\"Qi, Z.\",\"Paolini, G.\",\"John, N. A.\",\"Ma, J.\",\"Benajiba, Y.\",\"Ballesteros, M.\"],\"key\":\"Vacareanu2024GeneralVerificationLLM\",\"id\":\"Vacareanu2024GeneralVerificationLLM\",\"bibbaseid\":\"vacareanu-pratik-spiliopoulou-qi-paolini-john-ma-benajiba-etal-generalpurposeverificationforchainofthoughtprompting-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/pdf/2405.00204.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples\",\"author\":[{\"firstnames\":[\"Robert\"],\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"suffixes\":[]},{\"firstnames\":[\"Vlad-Andrei\"],\"propositions\":[],\"lastnames\":[\"Negru\"],\"suffixes\":[]},{\"firstnames\":[\"Vasile\"],\"propositions\":[],\"lastnames\":[\"Suciu\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"journal\":\"ArXiv\",\"year\":\"2024\",\"volume\":\"abs/2404.07544\",\"url\":\"https://arxiv.org/pdf/2404.07544.pdf\",\"bibtex\":\"@article{Vacareanu2024LLMsRegression,\\n  title={From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples},\\n  author={Robert Vacareanu and Vlad-Andrei Negru and Vasile Suciu and Mihai Surdeanu},\\n  journal={ArXiv},\\n  year={2024},\\n  volume={abs/2404.07544},\\n  url={https://arxiv.org/pdf/2404.07544.pdf}\\n}\\n\\n\",\"author_short\":[\"Vacareanu, R.\",\"Negru, V.\",\"Suciu, V.\",\"Surdeanu, M.\"],\"key\":\"Vacareanu2024LLMsRegression\",\"id\":\"Vacareanu2024LLMsRegression\",\"bibbaseid\":\"vacareanu-negru-suciu-surdeanu-fromwordstonumbersyourlargelanguagemodelissecretlyacapableregressorwhengivenincontextexamples-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/pdf/2404.07544.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification\",\"author\":[{\"firstnames\":[\"Robert\"],\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"suffixes\":[]},{\"firstnames\":[\"Fahmida\"],\"propositions\":[],\"lastnames\":[\"Alam\"],\"suffixes\":[]},{\"firstnames\":[\"Md\",\"Asiful\"],\"propositions\":[],\"lastnames\":[\"Islam\"],\"suffixes\":[]},{\"firstnames\":[\"Haris\"],\"propositions\":[],\"lastnames\":[\"Riaz\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: NAACL 2024\",\"month\":\"June\",\"year\":\"2024\",\"address\":\"Mexico City, Mexico\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://arxiv.org/pdf/2403.03305.pdf\",\"abstract\":\"This paper introduces a novel neuro-symbolic architecture for relation classification (RC) that combines rule-based methods with contemporary deep learning techniques. This approach capitalizes on the strengths of both paradigms: the adaptability of rule-based systems and the generalization power of neural networks. Our architecture consists of two components: a declarative rule-based model for transparent classification and a neural component to enhance rule generalizability through semantic text matching. Notably, our semantic matcher is trained in an unsupervised domain-agnostic way, solely with synthetic data. Further, these components are loosely coupled, allowing for rule modifications without retraining the semantic matcher. In our evaluation, we focused on two few-shot relation classification datasets: Few-Shot TACRED and a Few-Shot version of NYT29. We show that our proposed method outperforms previous state-of-the-art models in three out of four settings, despite not seeing any human-annotated training data. Further, we show that our approach remains modular and pliable, i.e., the corresponding rules can be locally modified to improve the overall model. Human interventions to the rules for the TACRED relation \\\\textttorg:parents boost the performance on that relation by as much as 26% relative improvement, without negatively impacting the other relations, and without retraining the semantic matching component.\",\"bibtex\":\"@inproceedings{vacareanu2024softrules,\\n    title = \\\"Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification\\\",\\n    author = \\\"Robert Vacareanu and Fahmida Alam and Md Asiful Islam and Haris Riaz and Mihai Surdeanu\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: NAACL 2024\\\",\\n    month = jun,\\n    year = \\\"2024\\\",\\n    address = \\\"Mexico City, Mexico\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://arxiv.org/pdf/2403.03305.pdf\\\",\\n    abstract = \\\"This paper introduces a novel neuro-symbolic architecture for relation classification (RC) that combines rule-based methods with contemporary deep learning techniques. This approach capitalizes on the strengths of both paradigms: the adaptability of rule-based systems and the generalization power of neural networks. Our architecture consists of two components: a declarative rule-based model for transparent classification and a neural component to enhance rule generalizability through semantic text matching. Notably, our semantic matcher is trained in an unsupervised domain-agnostic way, solely with synthetic data. Further, these components are loosely coupled, allowing for rule modifications without retraining the semantic matcher. In our evaluation, we focused on two few-shot relation classification datasets: Few-Shot TACRED and a Few-Shot version of NYT29. We show that our proposed method outperforms previous state-of-the-art models in three out of four settings, despite not seeing any human-annotated training data. Further, we show that our approach remains modular and pliable, i.e., the corresponding rules can be locally modified to improve the overall model. Human interventions to the rules for the TACRED relation \\\\texttt{org:parents} boost the performance on that relation by as much as 26\\\\% relative improvement, without negatively impacting the other relations, and without retraining the semantic matching component.\\\",\\n}\\n\\n\",\"author_short\":[\"Vacareanu, R.\",\"Alam, F.\",\"Islam, M. A.\",\"Riaz, H.\",\"Surdeanu, M.\"],\"key\":\"vacareanu2024softrules\",\"id\":\"vacareanu2024softrules\",\"bibbaseid\":\"vacareanu-alam-islam-riaz-surdeanu-bestofbothworldsapliableandgeneralizableneurosymbolicapproachforrelationclassification-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/pdf/2403.03305.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":28,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Active Learning Design Choices for NER with Transformers\",\"author\":[{\"firstnames\":[\"Robert\"],\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"suffixes\":[]},{\"firstnames\":[\"Enrique\"],\"propositions\":[],\"lastnames\":[\"Noriega-Atala\"],\"suffixes\":[]},{\"firstnames\":[\"Gus\"],\"propositions\":[],\"lastnames\":[\"Hahn-Powell\"],\"suffixes\":[]},{\"firstnames\":[\"Marco\",\"A.\"],\"propositions\":[],\"lastnames\":[\"Valenzuela-Escarcega\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation\",\"month\":\"May\",\"year\":\"2024\",\"address\":\"Torino, Italy\",\"publisher\":\"European Language Resources Association\",\"abstract\":\"We explore multiple important choices that have not been analyzed in conjunction regarding active learning for token classification using transformer networks. These choices are: (i) how to select what to annotate, (ii) decide whether to annotate entire sentences or smaller sentence fragments, (iii) how to train with incomplete annotations at token-level, and (iv) how to select the initial seed dataset. We explore whether annotating at sub-sentence level can translate to an improved downstream performance by considering two different sub-sentence annotation strategies: (i) entity-level, and (ii) token-level. These approaches result in some sentences being only partially annotated. To address this issue, we introduce and evaluate multiple strategies to deal with partially-annotated sentences during the training process. We show that annotating at the sub-sentence level achieves comparable or better performance than sentence-level annotations with a smaller number of annotated tokens. We then explore the extent to which the performance gap remains once accounting for the annotation time and found that both annotation schemes perform similarly.\",\"bibtex\":\"@inproceedings{vacareanu2024ActiveLearningNER,\\n    title = \\\"Active Learning Design Choices for NER with Transformers\\\",\\n    author = \\\"Robert Vacareanu and Enrique Noriega-Atala and Gus Hahn-Powell and Marco A. Valenzuela-Escarcega and Mihai Surdeanu \\\",\\n    booktitle = \\\"Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation\\\",\\n    month = may,\\n    year = \\\"2024\\\",\\n    address = \\\"Torino, Italy\\\",\\n    publisher = \\\"European Language Resources Association\\\",\\n    abstract = \\\"We explore multiple important choices that have not been analyzed in conjunction regarding active learning for token classification using transformer networks. These choices are: (i) how to select what to annotate, (ii) decide whether to annotate entire sentences or smaller sentence fragments, (iii) how to train with incomplete annotations at token-level, and (iv) how to select the initial seed dataset. We explore whether annotating at sub-sentence level can translate to an improved downstream performance by considering two different sub-sentence annotation strategies: (i) entity-level, and (ii) token-level. These approaches result in some sentences being only partially annotated. To address this issue, we introduce and evaluate multiple strategies to deal with partially-annotated sentences during the training process. We show that annotating at the sub-sentence level achieves comparable or better performance than sentence-level annotations with a smaller number of annotated tokens. We then explore the extent to which the performance gap remains once accounting for the annotation time and found that both annotation schemes perform similarly.\\\",\\n}\\n\\n\",\"author_short\":[\"Vacareanu, R.\",\"Noriega-Atala, E.\",\"Hahn-Powell, G.\",\"Valenzuela-Escarcega, M. A.\",\"Surdeanu, M.\"],\"key\":\"vacareanu2024ActiveLearningNER\",\"id\":\"vacareanu2024ActiveLearningNER\",\"bibbaseid\":\"vacareanu-noriegaatala-hahnpowell-valenzuelaescarcega-surdeanu-activelearningdesignchoicesfornerwithtransformers-2024\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"firstnames\":[\"Robert\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Varia\"],\"firstnames\":[\"Siddharth\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Halder\"],\"firstnames\":[\"Kishaloy\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wang\"],\"firstnames\":[\"Shuai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Paolini\"],\"firstnames\":[\"Giovanni\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Anna\",\"John\"],\"firstnames\":[\"Neha\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ballesteros\"],\"firstnames\":[\"Miguel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Muresan\"],\"firstnames\":[\"Smaranda\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Graham\"],\"firstnames\":[\"Yvette\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Purver\"],\"firstnames\":[\"Matthew\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)\",\"month\":\"March\",\"year\":\"2024\",\"address\":\"St. Julian's, Malta\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2024.eacl-long.167\",\"pages\":\"2734–2752\",\"abstract\":\"We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks. We propose a pipeline approach to construct a noisy ABSA dataset, and we use it to adapt a pre-trained sequence-to-sequence model to the ABSA tasks. We test the resulting model on three widely used ABSA datasets, before and after fine-tuning. Our proposed method preserves the full fine-tuning performance while showing significant improvements (15.84 absolute F1) in the few-shot learning scenario for the harder tasks. In zero-shot (i.e., without fine-tuning), our method outperforms the previous state of the art on the aspect extraction sentiment classification (AESC) task and is, additionally, capable of performing the harder aspect sentiment triplet extraction (ASTE) task.\",\"bibtex\":\"@inproceedings{vacareanu-etal-2024-weak,\\n    title = \\\"A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis\\\",\\n    author = \\\"Vacareanu, Robert  and\\n      Varia, Siddharth  and\\n      Halder, Kishaloy  and\\n      Wang, Shuai  and\\n      Paolini, Giovanni  and\\n      Anna John, Neha  and\\n      Ballesteros, Miguel  and\\n      Muresan, Smaranda\\\",\\n    editor = \\\"Graham, Yvette  and\\n      Purver, Matthew\\\",\\n    booktitle = \\\"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)\\\",\\n    month = mar,\\n    year = \\\"2024\\\",\\n    address = \\\"St. Julian{'}s, Malta\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2024.eacl-long.167\\\",\\n    pages = \\\"2734--2752\\\",\\n    abstract = \\\"We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks. We propose a pipeline approach to construct a noisy ABSA dataset, and we use it to adapt a pre-trained sequence-to-sequence model to the ABSA tasks. We test the resulting model on three widely used ABSA datasets, before and after fine-tuning. Our proposed method preserves the full fine-tuning performance while showing significant improvements (15.84 absolute F1) in the few-shot learning scenario for the harder tasks. In zero-shot (i.e., without fine-tuning), our method outperforms the previous state of the art on the aspect extraction sentiment classification (AESC) task and is, additionally, capable of performing the harder aspect sentiment triplet extraction (ASTE) task.\\\",\\n}\\n\\n\",\"author_short\":[\"Vacareanu, R.\",\"Varia, S.\",\"Halder, K.\",\"Wang, S.\",\"Paolini, G.\",\"Anna John, N.\",\"Ballesteros, M.\",\"Muresan, S.\"],\"editor_short\":[\"Graham, Y.\",\"Purver, M.\"],\"key\":\"vacareanu-etal-2024-weak\",\"id\":\"vacareanu-etal-2024-weak\",\"bibbaseid\":\"vacareanu-varia-halder-wang-paolini-annajohn-ballesteros-muresan-aweaksupervisionapproachforfewshotaspectbasedsentimentanalysis-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2024.eacl-long.167\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Wang\"],\"firstnames\":[\"Zijie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rashid\"],\"firstnames\":[\"Farzana\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Blanco\"],\"firstnames\":[\"Eduardo\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: NAACL 2024\",\"month\":\"June\",\"year\":\"2024\",\"address\":\"Mexico City, Mexico\",\"publisher\":\"Association for Computational Linguistics\",\"bibtex\":\"@inproceedings{wang2024naaclfindings,\\n    title = \\\"Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains\\\",\\n    author = \\\"Wang, Zijie and Rashid, Farzana and Blanco, Eduardo\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: NAACL 2024\\\",\\n    month = jun,\\n    year = \\\"2024\\\",\\n    address = \\\"Mexico City, Mexico\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\"\\n}\\n\\n\",\"author_short\":[\"Wang, Z.\",\"Rashid, F.\",\"Blanco, E.\"],\"key\":\"wang2024naaclfindings\",\"id\":\"wang2024naaclfindings\",\"bibbaseid\":\"wang-rashid-blanco-interpretinganswerstoyesnoquestionsindialoguesfrommultipledomains-2024\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Time Travel in LLMs: Tracing Data Contamination in Large Language Models\",\"author\":[{\"firstnames\":[\"Shahriar\"],\"propositions\":[],\"lastnames\":[\"Golchin\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Twelfth International Conference on Learning Representations (ICLR)\",\"year\":\"2024\",\"url\":\"https://openreview.net/forum?id=2Rwq6c3tvr\",\"bibtex\":\"@inproceedings{golchin2024time,\\n\\ttitle={Time Travel in {LLM}s: Tracing Data Contamination in Large Language Models},\\n\\tauthor={Shahriar Golchin and Mihai Surdeanu},\\n\\tbooktitle={Proceedings of the Twelfth International Conference on Learning Representations (ICLR)},\\n\\tyear={2024},\\n\\turl={https://openreview.net/forum?id=2Rwq6c3tvr}\\n}\\n\\n\",\"author_short\":[\"Golchin, S.\",\"Surdeanu, M.\"],\"key\":\"golchin2024time\",\"id\":\"golchin2024time\",\"bibbaseid\":\"golchin-surdeanu-timetravelinllmstracingdatacontaminationinlargelanguagemodels-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://openreview.net/forum?id=2Rwq6c3tvr\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":7,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation\",\"author\":[{\"firstnames\":[\"Fahmida\"],\"propositions\":[],\"lastnames\":[\"Alam\"],\"suffixes\":[]},{\"firstnames\":[\"Md\",\"Asiful\"],\"propositions\":[],\"lastnames\":[\"Islam\"],\"suffixes\":[]},{\"firstnames\":[\"Robert\"],\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Fourteenth Language Resources and Evaluation Conference\",\"month\":\"May\",\"year\":\"2024\",\"address\":\"Torino, Italy\",\"publisher\":\"European Language Resources Association\",\"url\":\"http://arxiv.org/abs/2404.04445\",\"abstract\":\"We introduce a meta dataset for few-shot relation extraction, which includes two datasets derived from existing supervised relation extraction datasets – NYT29 (Takanobu et al. , 2019 ; Nayak and Ng , 2020) and WIKIDATA (Sorokin and Gurevych, 2017) – as well as a few-shot form of the TACRED dataset (Sabo et al., 2021). Importantly, all these few-shot datasets were generated under realistic assumptions such as: the test relations are different from any relations a model might have seen before, limited training data, and a preponderance of candidate relation mentions that do not correspond to any of the relations of interest. Using this large resource, we conduct a comprehensive evaluation of six recent few-shot relation extraction methods, and observe that no method comes out as a clear winner. Further, the overall performance on this task is low, indicating substantial need for future research. We release all versions of the data, i.e., both supervised and few-shot, for future research.\",\"bibtex\":\"@inproceedings{fahmida2024fs-meta-dataset,\\n    title = \\\"Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation\\\",\\n    author = \\\"Fahmida Alam and Md Asiful Islam and Robert Vacareanu and Mihai Surdeanu \\\",\\n    booktitle = \\\"Proceedings of the Fourteenth Language Resources and Evaluation Conference\\\",\\n    month = may,\\n    year = \\\"2024\\\",\\n    address = \\\"Torino, Italy\\\",\\n    publisher = \\\"European Language Resources Association\\\",\\n    url = \\\"http://arxiv.org/abs/2404.04445\\\",\\n    abstract = \\\"We introduce a meta dataset for few-shot relation extraction, which includes two datasets derived from existing supervised relation extraction datasets – NYT29 (Takanobu et al. , 2019 ; Nayak and Ng , 2020) and WIKIDATA (Sorokin and Gurevych, 2017) – as well as a few-shot form of the TACRED dataset (Sabo et al., 2021). Importantly, all these few-shot datasets were generated under realistic assumptions such as: the test relations are different from any relations a model might have seen before, limited training data, and a preponderance of candidate relation mentions that do not correspond to any of the relations of interest. Using this large resource, we conduct a comprehensive evaluation of six recent few-shot relation extraction methods, and observe that no method comes out as a clear winner. Further, the overall performance on this task is low, indicating substantial need for future research. We release all versions of the data, i.e., both supervised and few-shot, for future research.\\\"\\n}\\n\\n\",\"author_short\":[\"Alam, F.\",\"Islam, M. A.\",\"Vacareanu, R.\",\"Surdeanu, M.\"],\"key\":\"fahmida2024fs-meta-dataset\",\"id\":\"fahmida2024fs-meta-dataset\",\"bibbaseid\":\"alam-islam-vacareanu-surdeanu-towardsrealisticfewshotrelationextractionanewmetadatasetandevaluation-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://arxiv.org/abs/2404.04445\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":5,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition\",\"author\":[{\"firstnames\":[\"Haris\"],\"propositions\":[],\"lastnames\":[\"Riaz\"],\"suffixes\":[]},{\"firstnames\":[\"Razvan-Gabriel\"],\"propositions\":[],\"lastnames\":[\"Dumitru\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation\",\"month\":\"May\",\"year\":\"2024\",\"address\":\"Torino, Italy\",\"publisher\":\"European Language Resources Association\",\"url\":\"https://arxiv.org/pdf/2403.17385.pdf\",\"abstract\":\"In this work, we revisit the problem of semi-supervised named entity recognition (NER) focusing on extremely light supervision, consisting of a lexicon containing only 10 examples per class. We introduce ELLEN, a simple, fully modular, neuro-symbolic method that blends fine-tuned language models with linguistic rules. These rules include insights such as ''One Sense Per Discourse'', using a Masked Language Model as an unsupervised NER, leveraging part-of-speech tags to identify and eliminate unlabeled entities as false negatives, and other intuitions about classifier confidence scores in local and global context. ELLEN achieves very strong performance on the CoNLL-2003 dataset when using the minimal supervision from the lexicon above. It also outperforms most existing (and considerably more complex) semi-supervised NER methods under the same supervision settings commonly used in the literature (i.e., 5% of the training data). Further, we evaluate our CoNLL-2003 model in a zero-shot scenario on WNUT-17 where we find that it outperforms GPT-3.5 and achieves comparable performance to GPT-4. In a zero-shot setting, ELLEN also achieves over 75% of the performance of a strong, fully supervised model trained on gold data. Our code is available at: https://github.com/hriaz17/ELLEN\",\"bibtex\":\"@inproceedings{riaz2024ellen,\\n    title = \\\"ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition\\\",\\n    author = \\\"Haris Riaz and Razvan-Gabriel Dumitru and Mihai Surdeanu\\\",\\n    booktitle = \\\"Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation\\\",\\n    month = may,\\n    year = \\\"2024\\\",\\n    address = \\\"Torino, Italy\\\",\\n    publisher = \\\"European Language Resources Association\\\",\\n    url = \\\"https://arxiv.org/pdf/2403.17385.pdf\\\",\\n    abstract = \\\"In this work, we revisit the problem of semi-supervised named entity recognition (NER) focusing on extremely light supervision, consisting of a lexicon containing only 10 examples per class. We introduce ELLEN, a simple, fully modular, neuro-symbolic method that blends fine-tuned language models with linguistic rules. These rules include insights such as ''One Sense Per Discourse'', using a Masked Language Model as an unsupervised NER, leveraging part-of-speech tags to identify and eliminate unlabeled entities as false negatives, and other intuitions about classifier confidence scores in local and global context. ELLEN achieves very strong performance on the CoNLL-2003 dataset when using the minimal supervision from the lexicon above. It also outperforms most existing (and considerably more complex) semi-supervised NER methods under the same supervision settings commonly used in the literature (i.e., 5% of the training data). Further, we evaluate our CoNLL-2003 model in a zero-shot scenario on WNUT-17 where we find that it outperforms GPT-3.5 and achieves comparable performance to GPT-4. In a zero-shot setting, ELLEN also achieves over 75% of the performance of a strong, fully supervised model trained on gold data. Our code is available at: https://github.com/hriaz17/ELLEN\\\",\\n}\\n\\n\",\"author_short\":[\"Riaz, H.\",\"Dumitru, R.\",\"Surdeanu, M.\"],\"key\":\"riaz2024ellen\",\"id\":\"riaz2024ellen\",\"bibbaseid\":\"riaz-dumitru-surdeanu-ellenextremelylightlysupervisedlearningforefficientnamedentityrecognition-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/pdf/2403.17385.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":5,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"On Learning Bipolar Gradual Argumentation Semantics with Neural Networks\",\"author\":[{\"firstnames\":[\"Caren\",\"Al\"],\"propositions\":[],\"lastnames\":[\"Anaissy\"],\"suffixes\":[]},{\"firstnames\":[\"Sandeep\"],\"propositions\":[],\"lastnames\":[\"Suntwal\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]},{\"firstnames\":[\"Srdjan\"],\"propositions\":[],\"lastnames\":[\"Vesic\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART)\",\"year\":\"2024\",\"url\":\"https://clulab.org/papers/icaart2024.pdf\",\"abstract\":\"Computational argumentation has evolved as a key area in artificial intelligence, used to analyze aspects of thinking, making decisions, and conversing. As a result, it is currently employed in a variety of real-world contexts, from legal reasoning to intelligence analysis. An argumentation framework is modelled as a graph where the nodes represent arguments and the edges of the graph represent relations (i.e., supports, attacks) between nodes. In this work, we investigate the ability of neural network methods to learn a gradual bipolar argumentation semantics, which allows for both supports and attacks. We begin by calculating the acceptability degrees for graph nodes. These scores are generated using Quantitative Argumentation Debate (QuAD) argumentation semantics. We apply this approach to two benchmark datasets: Twelve Angry Men and Debate- pedia. Using this data, we train and evaluate the performance of three benchmark architectures: Multilayer Perceptron (MLP), Graph Convolution Network (GCN), and Graph Attention Network (GAT) to learn the acceptability degree scores produced by the QuAD semantics. Our results show that these neural network methods can learn bipolar gradual argumentation semantics. The models trained on GCN architecture perform better than the other two architectures underscoring the importance of modelling argumentation graphs explicitly.\",\"bibtex\":\"@inproceedings{anaissy-icaart2024,\\n    title = \\\"On Learning Bipolar Gradual Argumentation Semantics with Neural Networks\\\",\\n    author = \\\"Caren Al Anaissy and Sandeep Suntwal and Mihai Surdeanu and Srdjan Vesic\\\",\\n    booktitle = \\\"Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART)\\\",\\n    year = \\\"2024\\\",\\n    url = \\\"https://clulab.org/papers/icaart2024.pdf\\\",\\n    abstract = \\\"Computational argumentation has evolved as a key area in artificial intelligence, used to analyze aspects of thinking, making decisions, and conversing. As a result, it is currently employed in a variety of real-world contexts, from legal reasoning to intelligence analysis. An argumentation framework is modelled as a graph where the nodes represent arguments and the edges of the graph represent relations (i.e., supports, attacks) between nodes. In this work, we investigate the ability of neural network methods to learn a gradual bipolar argumentation semantics, which allows for both supports and attacks. We begin by calculating the acceptability degrees for graph nodes. These scores are generated using Quantitative Argumentation Debate (QuAD) argumentation semantics. We apply this approach to two benchmark datasets: Twelve Angry Men and Debate- pedia. Using this data, we train and evaluate the performance of three benchmark architectures: Multilayer Perceptron (MLP), Graph Convolution Network (GCN), and Graph Attention Network (GAT) to learn the acceptability degree scores produced by the QuAD semantics. Our results show that these neural network methods can learn bipolar gradual argumentation semantics. The models trained on GCN architecture perform better than the other two architectures underscoring the importance of modelling argumentation graphs explicitly.\\\"\\n}\\n\\n\",\"author_short\":[\"Anaissy, C. A.\",\"Suntwal, S.\",\"Surdeanu, M.\",\"Vesic, S.\"],\"key\":\"anaissy-icaart2024\",\"id\":\"anaissy-icaart2024\",\"bibbaseid\":\"anaissy-suntwal-surdeanu-vesic-onlearningbipolargradualargumentationsemanticswithneuralnetworks-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://clulab.org/papers/icaart2024.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"The ToMCAT Dataset\",\"author\":[{\"firstnames\":[\"Adarsh\"],\"propositions\":[],\"lastnames\":[\"Pyarelal\"],\"suffixes\":[]},{\"firstnames\":[\"Eric\"],\"propositions\":[],\"lastnames\":[\"Duong\"],\"suffixes\":[]},{\"firstnames\":[\"Caleb\",\"Jones\"],\"propositions\":[],\"lastnames\":[\"Shibu\"],\"suffixes\":[]},{\"firstnames\":[\"Paulo\"],\"propositions\":[],\"lastnames\":[\"Soares\"],\"suffixes\":[]},{\"firstnames\":[\"Savannah\"],\"propositions\":[],\"lastnames\":[\"Boyd\"],\"suffixes\":[]},{\"firstnames\":[\"Payal\"],\"propositions\":[],\"lastnames\":[\"Khosla\"],\"suffixes\":[]},{\"firstnames\":[\"Valeria\"],\"propositions\":[],\"lastnames\":[\"Pfeifer\"],\"suffixes\":[]},{\"firstnames\":[\"Diheng\"],\"propositions\":[],\"lastnames\":[\"Zhang\"],\"suffixes\":[]},{\"firstnames\":[\"Eric\",\"S\"],\"propositions\":[],\"lastnames\":[\"Andrews\"],\"suffixes\":[]},{\"firstnames\":[\"Rick\"],\"propositions\":[],\"lastnames\":[\"Champlin\"],\"suffixes\":[]},{\"firstnames\":[\"Vincent\",\"Paul\"],\"propositions\":[],\"lastnames\":[\"Raymond\"],\"suffixes\":[]},{\"firstnames\":[\"Meghavarshini\"],\"propositions\":[],\"lastnames\":[\"Krishnaswamy\"],\"suffixes\":[]},{\"firstnames\":[\"Clayton\"],\"propositions\":[],\"lastnames\":[\"Morrison\"],\"suffixes\":[]},{\"firstnames\":[\"Emily\"],\"propositions\":[],\"lastnames\":[\"Butler\"],\"suffixes\":[]},{\"firstnames\":[\"Kobus\"],\"propositions\":[],\"lastnames\":[\"Barnard\"],\"suffixes\":[]}],\"booktitle\":\"Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track\",\"year\":\"2023\",\"url\":\"https://openreview.net/forum?id=ZJWQfgXQb6\",\"bibtex\":\"@inproceedings{\\n    pyarelal2023the,\\n    title={The To{MCAT} Dataset},\\n    author={Adarsh Pyarelal and Eric Duong and Caleb Jones Shibu and Paulo Soares and Savannah Boyd and Payal Khosla and Valeria Pfeifer and Diheng Zhang and Eric S Andrews and Rick Champlin and Vincent Paul Raymond and Meghavarshini Krishnaswamy and Clayton Morrison and Emily Butler and Kobus Barnard},\\n    booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},\\n    year={2023},\\n    url={https://openreview.net/forum?id=ZJWQfgXQb6}\\n}\\n\\n\",\"author_short\":[\"Pyarelal, A.\",\"Duong, E.\",\"Shibu, C. J.\",\"Soares, P.\",\"Boyd, S.\",\"Khosla, P.\",\"Pfeifer, V.\",\"Zhang, D.\",\"Andrews, E. S\",\"Champlin, R.\",\"Raymond, V. P.\",\"Krishnaswamy, M.\",\"Morrison, C.\",\"Butler, E.\",\"Barnard, K.\"],\"key\":\"pyarelal2023the\",\"id\":\"pyarelal2023the\",\"bibbaseid\":\"pyarelal-duong-shibu-soares-boyd-khosla-pfeifer-zhang-etal-thetomcatdataset-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://openreview.net/forum?id=ZJWQfgXQb6\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Qamar\"],\"firstnames\":[\"Ayesha\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pyarelal\"],\"firstnames\":[\"Adarsh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Huang\"],\"firstnames\":[\"Ruihong\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Bouamor\"],\"firstnames\":[\"Houda\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pino\"],\"firstnames\":[\"Juan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bali\"],\"firstnames\":[\"Kalika\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: EMNLP 2023\",\"month\":\"December\",\"year\":\"2023\",\"address\":\"Singapore\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2023.findings-emnlp.678\",\"pages\":\"10122–10135\",\"abstract\":\"Utterances do not occur in isolation in dialogues; it is essential to have the information of who the speaker of an utterance is to be able to recover the speaker's intention with respect to the surrounding context. Beyond simply capturing speaker switches, identifying how speakers interact with each other in a dialogue is crucial to understanding conversational flow. This becomes increasingly important and simultaneously difficult to model when more than two interlocutors take part in a conversation. To overcome this challenge, we propose to explicitly add speaker awareness to each utterance representation. To that end, we use a graph neural network to model how each speaker is behaving within the local context of a conversation. The speaker representations learned this way are then used to update their respective utterance representations. We experiment with both multiparticipant and dyadic conversations on the MRDA and SwDA datasets and show the effectiveness of our approach.\",\"bibtex\":\"@inproceedings{qamar-etal-2023-speaking,\\n    title = \\\"Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification\\\",\\n    author = \\\"Qamar, Ayesha  and\\n      Pyarelal, Adarsh  and\\n      Huang, Ruihong\\\",\\n    editor = \\\"Bouamor, Houda  and\\n      Pino, Juan  and\\n      Bali, Kalika\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: EMNLP 2023\\\",\\n    month = dec,\\n    year = \\\"2023\\\",\\n    address = \\\"Singapore\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2023.findings-emnlp.678\\\",\\n    pages = \\\"10122--10135\\\",\\n    abstract = \\\"Utterances do not occur in isolation in dialogues; it is essential to have the information of who the speaker of an utterance is to be able to recover the speaker{'}s intention with respect to the surrounding context. Beyond simply capturing speaker switches, identifying how speakers interact with each other in a dialogue is crucial to understanding conversational flow. This becomes increasingly important and simultaneously difficult to model when more than two interlocutors take part in a conversation. To overcome this challenge, we propose to explicitly add speaker awareness to each utterance representation. To that end, we use a graph neural network to model how each speaker is behaving within the local context of a conversation. The speaker representations learned this way are then used to update their respective utterance representations. We experiment with both multiparticipant and dyadic conversations on the MRDA and SwDA datasets and show the effectiveness of our approach.\\\",\\n}\\n\\n\",\"author_short\":[\"Qamar, A.\",\"Pyarelal, A.\",\"Huang, R.\"],\"editor_short\":[\"Bouamor, H.\",\"Pino, J.\",\"Bali, K.\"],\"key\":\"qamar-etal-2023-speaking\",\"id\":\"qamar-etal-2023-speaking\",\"bibbaseid\":\"qamar-pyarelal-huang-whoisspeakingspeakerawaremultipartydialogueactclassification-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2023.findings-emnlp.678\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Hierarchical Fusion for Online Multimodal Dialog Act Classification\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Miah\"],\"firstnames\":[\"Md\",\"Messal\",\"Monem\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pyarelal\"],\"firstnames\":[\"Adarsh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Huang\"],\"firstnames\":[\"Ruihong\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Bouamor\"],\"firstnames\":[\"Houda\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pino\"],\"firstnames\":[\"Juan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bali\"],\"firstnames\":[\"Kalika\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: EMNLP 2023\",\"month\":\"December\",\"year\":\"2023\",\"address\":\"Singapore\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2023.findings-emnlp.505\",\"pages\":\"7532–7545\",\"abstract\":\"We propose a framework for online multimodal dialog act (DA) classification based on raw audio and ASR-generated transcriptions of current and past utterances. Existing multimodal DA classification approaches are limited by ineffective audio modeling and late-stage fusion. We showcase significant improvements in multimodal DA classification by integrating modalities at a more granular level and incorporating recent advancements in large language and audio models for audio feature extraction. We further investigate the effectiveness of self-attention and cross-attention mechanisms in modeling utterances and dialogs for DA classification. We achieve a substantial increase of 3 percentage points in the F1 score relative to current state-of-the-art models on two prominent DA classification datasets, MRDA and EMOTyDA.\",\"bibtex\":\"@inproceedings{miah-etal-2023-hierarchical,\\n    title = \\\"Hierarchical Fusion for Online Multimodal Dialog Act Classification\\\",\\n    author = \\\"Miah, Md Messal Monem  and\\n      Pyarelal, Adarsh  and\\n      Huang, Ruihong\\\",\\n    editor = \\\"Bouamor, Houda  and\\n      Pino, Juan  and\\n      Bali, Kalika\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: EMNLP 2023\\\",\\n    month = dec,\\n    year = \\\"2023\\\",\\n    address = \\\"Singapore\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2023.findings-emnlp.505\\\",\\n    pages = \\\"7532--7545\\\",\\n    abstract = \\\"We propose a framework for online multimodal dialog act (DA) classification based on raw audio and ASR-generated transcriptions of current and past utterances. Existing multimodal DA classification approaches are limited by ineffective audio modeling and late-stage fusion. We showcase significant improvements in multimodal DA classification by integrating modalities at a more granular level and incorporating recent advancements in large language and audio models for audio feature extraction. We further investigate the effectiveness of self-attention and cross-attention mechanisms in modeling utterances and dialogs for DA classification. We achieve a substantial increase of 3 percentage points in the F1 score relative to current state-of-the-art models on two prominent DA classification datasets, MRDA and EMOTyDA.\\\",\\n}\\n\\n\",\"author_short\":[\"Miah, M. M. M.\",\"Pyarelal, A.\",\"Huang, R.\"],\"editor_short\":[\"Bouamor, H.\",\"Pino, J.\",\"Bali, K.\"],\"key\":\"miah-etal-2023-hierarchical\",\"id\":\"miah-etal-2023-hierarchical\",\"bibbaseid\":\"miah-pyarelal-huang-hierarchicalfusionforonlinemultimodaldialogactclassification-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2023.findings-emnlp.505\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cooper\"],\"firstnames\":[\"Portia\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Blanco\"],\"firstnames\":[\"Eduardo\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Bouamor\"],\"firstnames\":[\"Houda\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pino\"],\"firstnames\":[\"Juan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bali\"],\"firstnames\":[\"Kalika\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: EMNLP 2023\",\"month\":\"December\",\"year\":\"2023\",\"address\":\"Singapore\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2023.findings-emnlp.192\",\"doi\":\"10.18653/v1/2023.findings-emnlp.192\",\"pages\":\"2922–2929\",\"abstract\":\"To avoid detection by current NLP monitoring applications, progenitors of hate speech often replace one or more letters in offensive words with homoglyphs, visually similar Unicode characters. Harvesting real-world hate speech containing homoglyphs is challenging due to the vast replacement possibilities. We developed a character substitution scraping method and assembled the Offensive Tweets with Homoglyphs (OTH) Dataset (N=90,788) with more than 1.5 million occurrences of 1,281 non-Latin characters (emojis excluded). In an annotated sample (n=700), 40.14% of the tweets were found to contain hate speech. We assessed the performance of seven transformer-based hate speech detection models and found that they performed poorly in a zero-shot setting (F1 scores between 0.04 and 0.52) but normalizing the data dramatically improved detection (F1 scores between 0.59 and 0.71). Training the models using the annotated data further boosted performance (highest micro-averaged F1 score=0.88, using five-fold cross validation). This study indicates that a dataset containing homoglyphs known and unknown to the scraping script can be collected, and that neural models can be trained to recognize camouflaged real-world hate speech.\",\"bibtex\":\"@inproceedings{cooper-etal-2023-hiding,\\n    title = \\\"Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs\\\",\\n    author = \\\"Cooper, Portia  and\\n      Surdeanu, Mihai  and\\n      Blanco, Eduardo\\\",\\n    editor = \\\"Bouamor, Houda  and\\n      Pino, Juan  and\\n      Bali, Kalika\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: EMNLP 2023\\\",\\n    month = dec,\\n    year = \\\"2023\\\",\\n    address = \\\"Singapore\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2023.findings-emnlp.192\\\",\\n    doi = \\\"10.18653/v1/2023.findings-emnlp.192\\\",\\n    pages = \\\"2922--2929\\\",\\n    abstract = \\\"To avoid detection by current NLP monitoring applications, progenitors of hate speech often replace one or more letters in offensive words with homoglyphs, visually similar Unicode characters. Harvesting real-world hate speech containing homoglyphs is challenging due to the vast replacement possibilities. We developed a character substitution scraping method and assembled the Offensive Tweets with Homoglyphs (OTH) Dataset (N=90,788) with more than 1.5 million occurrences of 1,281 non-Latin characters (emojis excluded). In an annotated sample (n=700), 40.14{\\\\%} of the tweets were found to contain hate speech. We assessed the performance of seven transformer-based hate speech detection models and found that they performed poorly in a zero-shot setting (F1 scores between 0.04 and 0.52) but normalizing the data dramatically improved detection (F1 scores between 0.59 and 0.71). Training the models using the annotated data further boosted performance (highest micro-averaged F1 score=0.88, using five-fold cross validation). This study indicates that a dataset containing homoglyphs known and unknown to the scraping script can be collected, and that neural models can be trained to recognize camouflaged real-world hate speech.\\\",\\n}\\n\\n\",\"author_short\":[\"Cooper, P.\",\"Surdeanu, M.\",\"Blanco, E.\"],\"editor_short\":[\"Bouamor, H.\",\"Pino, J.\",\"Bali, K.\"],\"key\":\"cooper-etal-2023-hiding\",\"id\":\"cooper-etal-2023-hiding\",\"bibbaseid\":\"cooper-surdeanu-blanco-hidinginplainsighttweetswithhatespeechmaskedbyhomoglyphs-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2023.findings-emnlp.192\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Transferring Legal Natural Language Inference Model from a US State to Another: What Makes It So Hard?\",\"author\":[{\"firstnames\":[\"Alice\"],\"propositions\":[],\"lastnames\":[\"Kwak\"],\"suffixes\":[]},{\"firstnames\":[\"Gaetano\"],\"propositions\":[],\"lastnames\":[\"Forte\"],\"suffixes\":[]},{\"firstnames\":[\"Derek\"],\"propositions\":[],\"lastnames\":[\"Bambauer\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Natural Legal Language Processing Workshop 2023\",\"month\":\"December\",\"year\":\"2023\",\"url\":\"https://clulab.org/papers/nllp2023_kwak-et-al.pdf\",\"abstract\":\"This study investigates whether a legal natural language inference (NLI) model trained on the data from one US state can be transferred to another state. We fine-tuned a pre-trained model on the task of evaluating the validity of legal will statements, once with the dataset containing the Tennessee wills and once with the dataset containing the Idaho wills. Each model’s performance on the in-domain setting and the out-of-domain setting are compared to see if the models can across the states. We found that the model trained on one US state can be mostly transferred to another state. However, it is clear that the model’s performance drops in the out-of-domain setting. The F1 scores of the Tennessee model and the Idaho model are 96.41 and 92.03 when predicting the data from the same state, but they drop to 66.32 and 81.60 when predicting the data from another state. Subsequent error analysis revealed that there are two major sources of errors. First, the model fails to recognize equivalent laws across states when there are stylistic differences between laws. Second, difference in statutory section numbering system between the states makes it difficult for the model to locate laws relevant to the cases being predicted on. This analysis provides insights on how the future NLI system can be improved. Also, our findings offer empirical support to legal experts advocating the standardization of legal documents.\",\"bibtex\":\"@inproceedings{kwak-et-al-nllp2023-error-analysis,\\n    title = \\\"Transferring Legal Natural Language Inference Model from a US State to Another: What Makes It So Hard?\\\",\\n    author = \\\"Alice Kwak and Gaetano Forte and Derek Bambauer and Mihai Surdeanu\\\",\\n    booktitle = \\\"Proceedings of the Natural Legal Language Processing Workshop 2023\\\",\\n    month = dec,\\n    year = \\\"2023\\\",\\n    url = \\\"https://clulab.org/papers/nllp2023_kwak-et-al.pdf\\\",\\n    abstract = \\\"This study investigates whether a legal natural language inference (NLI) model trained on the data from one US state can be transferred to another state. We fine-tuned a pre-trained model on the task of evaluating the validity of legal will statements, once with the dataset containing the Tennessee wills and once with the dataset containing the Idaho wills. Each model’s performance on the in-domain setting and the out-of-domain setting are compared to see if the models can across the states. We found that the model trained on one US state can be mostly transferred to another state. However, it is clear that the model’s performance drops in the out-of-domain setting. The F1 scores of the Tennessee model and the Idaho model are 96.41 and 92.03 when predicting the data from the same state, but they drop to 66.32 and 81.60 when predicting the data from another state. Subsequent error analysis revealed that there are two major sources of errors. First, the model fails to recognize equivalent laws across states when there are stylistic differences between laws. Second, difference in statutory section numbering system between the states makes it difficult for the model to locate laws relevant to the cases being predicted on. This analysis provides insights on how the future NLI system can be improved. Also, our findings offer empirical support to legal experts advocating the standardization of legal documents.\\\",\\n}\\n\\n\",\"author_short\":[\"Kwak, A.\",\"Forte, G.\",\"Bambauer, D.\",\"Surdeanu, M.\"],\"key\":\"kwak-et-al-nllp2023-error-analysis\",\"id\":\"kwak-et-al-nllp2023-error-analysis\",\"bibbaseid\":\"kwak-forte-bambauer-surdeanu-transferringlegalnaturallanguageinferencemodelfromausstatetoanotherwhatmakesitsohard-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://clulab.org/papers/nllp2023_kwak-et-al.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Information Extraction from Legal Wills: How Well Does GPT-4 Do?\",\"author\":[{\"firstnames\":[\"Alice\"],\"propositions\":[],\"lastnames\":[\"Kwak\"],\"suffixes\":[]},{\"firstnames\":[\"Cheonkam\"],\"propositions\":[],\"lastnames\":[\"Jeong\"],\"suffixes\":[]},{\"firstnames\":[\"Gaetano\"],\"propositions\":[],\"lastnames\":[\"Forte\"],\"suffixes\":[]},{\"firstnames\":[\"Derek\"],\"propositions\":[],\"lastnames\":[\"Bambauer\"],\"suffixes\":[]},{\"firstnames\":[\"Clayton\"],\"propositions\":[],\"lastnames\":[\"Morrison\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: EMNLP 2023\",\"month\":\"December\",\"year\":\"2023\",\"url\":\"https://clulab.org/papers/emnlp2023_kwak-et-al.pdf\",\"abstract\":\"This work presents a manually annotated dataset for Information Extraction (IE) from legal wills, and relevant in-context learning experiments on the dataset. The dataset consists of entities, binary relations between the entities (e.g., relations between testator and beneficiary), and n-ary events (e.g., bequest) extracted from 45 legal wills from two US states. This dataset can serve as a foundation for downstream tasks in the legal domain. Another use case of this dataset is evaluating the performance of large language models (LLMs) on this IE task. We evaluated GPT-4 with our dataset to investigate its ability to extract information from legal wills. Our evaluation result demonstrates that the model is capable of handling the task reasonably well. When given instructions and examples as a prompt, GPT-4 shows decent performance for both entity extraction and relation extraction tasks. Nevertheless, the evaluation result also reveals that the model is not perfect. We observed inconsistent outputs (given a prompt) as well as prompt over-generalization.\",\"bibtex\":\"@inproceedings{kwak-et-al-emnlp2023-ie4wills,\\n    title = \\\"Information Extraction from Legal Wills: How Well Does GPT-4 Do?\\\",\\n    author = \\\"Alice Kwak and Cheonkam Jeong and Gaetano Forte and Derek Bambauer and Clayton Morrison and Mihai Surdeanu\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: EMNLP 2023\\\",\\n    month = dec,\\n    year = \\\"2023\\\",\\n    url = \\\"https://clulab.org/papers/emnlp2023_kwak-et-al.pdf\\\",\\n    abstract = \\\"This work presents a manually annotated dataset for Information Extraction (IE) from legal wills, and relevant in-context learning experiments on the dataset. The dataset consists of entities, binary relations between the entities (e.g., relations between testator and beneficiary), and n-ary events (e.g., bequest) extracted from 45 legal wills from two US states. This dataset can serve as a foundation for downstream tasks in the legal domain. Another use case of this dataset is evaluating the performance of large language models (LLMs) on this IE task. We evaluated GPT-4 with our dataset to investigate its ability to extract information from legal wills. Our evaluation result demonstrates that the model is capable of handling the task reasonably well. When given instructions and examples as a prompt, GPT-4 shows decent performance for both entity extraction and relation extraction tasks. Nevertheless, the evaluation result also reveals that the model is not perfect. We observed inconsistent outputs (given a prompt) as well as prompt over-generalization.\\\",\\n}\\n\\n\",\"author_short\":[\"Kwak, A.\",\"Jeong, C.\",\"Forte, G.\",\"Bambauer, D.\",\"Morrison, C.\",\"Surdeanu, M.\"],\"key\":\"kwak-et-al-emnlp2023-ie4wills\",\"id\":\"kwak-et-al-emnlp2023-ie4wills\",\"bibbaseid\":\"kwak-jeong-forte-bambauer-morrison-surdeanu-informationextractionfromlegalwillshowwelldoesgpt4do-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://clulab.org/papers/emnlp2023_kwak-et-al.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Rahimi\"],\"firstnames\":[\"Mahdi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)\",\"month\":\"July\",\"year\":\"2023\",\"address\":\"Toronto, Canada\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2023.repl4nlp-1.16\",\"pages\":\"187–195\",\"abstract\":\"While fully supervised relation classification (RC) models perform well on large-scale datasets, their performance drops drastically in low-resource settings. As generating annotated examples are expensive, recent zero-shot methods have been proposed that reformulate RC into other NLP tasks for which supervision exists such as textual entailment. However, these methods rely on templates that are manually created which is costly and requires domain expertise. In this paper, we present a novel strategy for template generation for relation classification, which is based on adapting Harris' distributional similarity principle to templates encoded using contextualized representations. Further, we perform empirical evaluation of different strategies for combining the automatically acquired templates with manual templates. The experimental results on TACRED show that our approach not only performs better than the zero-shot RC methods that only use manual templates, but also that it achieves state-of-the-art performance for zero-shot TACRED at 64.3 F1 score.\",\"bibtex\":\"@inproceedings{rahimi-surdeanu-2023-improving,\\n    title = \\\"Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates\\\",\\n    author = \\\"Rahimi, Mahdi  and\\n      Surdeanu, Mihai\\\",\\n    booktitle = \\\"Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)\\\",\\n    month = jul,\\n    year = \\\"2023\\\",\\n    address = \\\"Toronto, Canada\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2023.repl4nlp-1.16\\\",\\n    pages = \\\"187--195\\\",\\n    abstract = \\\"While fully supervised relation classification (RC) models perform well on large-scale datasets, their performance drops drastically in low-resource settings. As generating annotated examples are expensive, recent zero-shot methods have been proposed that reformulate RC into other NLP tasks for which supervision exists such as textual entailment. However, these methods rely on templates that are manually created which is costly and requires domain expertise. In this paper, we present a novel strategy for template generation for relation classification, which is based on adapting Harris{'} distributional similarity principle to templates encoded using contextualized representations. Further, we perform empirical evaluation of different strategies for combining the automatically acquired templates with manual templates. The experimental results on TACRED show that our approach not only performs better than the zero-shot RC methods that only use manual templates, but also that it achieves state-of-the-art performance for zero-shot TACRED at 64.3 F1 score.\\\",\\n}\\n\\n\",\"author_short\":[\"Rahimi, M.\",\"Surdeanu, M.\"],\"key\":\"rahimi-surdeanu-2023-improving\",\"id\":\"rahimi-surdeanu-2023-improving\",\"bibbaseid\":\"rahimi-surdeanu-improvingzeroshotrelationclassificationviaautomaticallyacquiredentailmenttemplates-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2023.repl4nlp-1.16\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":3,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"It's not Sexually Suggestive; It's Educative | Separating Sex Education from Suggestive Content on TikTok Videos\",\"author\":[{\"propositions\":[],\"lastnames\":[\"George\"],\"firstnames\":[\"Enfa\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: ACL 2023\",\"month\":\"July\",\"year\":\"2023\",\"address\":\"Toronto, Canada\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2023.findings-acl.365\",\"pages\":\"5904–5915\",\"abstract\":\"We introduce SexTok, a multi-modal dataset composed of TikTok videos labeled as sexually suggestive (from the annotator's point of view), sex-educational content, or neither. Such a dataset is necessary to address the challenge of distinguishing between sexually suggestive content and virtual sex education videos on TikTok. Children's exposure to sexually suggestive videos has been shown to have adversarial effects on their development (Collins et al. 2017). Meanwhile, virtual sex education, especially on subjects that are more relevant to the LGBTQIA+ community, is very valuable (Mitchell et al. 2014). The platform's current system removes/punishes some of both types of videos, even though they serve different purposes. Our dataset contains video URLs, and it is also audio transcribed. To validate its importance, we explore two transformer-based models for classifying the videos. Our preliminary results suggest that the task of distinguishing between these types of videos is learnable but challenging. These experiments suggest that this dataset is meaningful and invites further study on the subject.\",\"bibtex\":\"@inproceedings{george-surdeanu-2023-sexually,\\n    title = \\\"It{'}s not Sexually Suggestive; It{'}s Educative | Separating Sex Education from Suggestive Content on {T}ik{T}ok Videos\\\",\\n    author = \\\"George, Enfa  and\\n      Surdeanu, Mihai\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: ACL 2023\\\",\\n    month = jul,\\n    year = \\\"2023\\\",\\n    address = \\\"Toronto, Canada\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2023.findings-acl.365\\\",\\n    pages = \\\"5904--5915\\\",\\n    abstract = \\\"We introduce SexTok, a multi-modal dataset composed of TikTok videos labeled as sexually suggestive (from the annotator{'}s point of view), sex-educational content, or neither. Such a dataset is necessary to address the challenge of distinguishing between sexually suggestive content and virtual sex education videos on TikTok. Children{'}s exposure to sexually suggestive videos has been shown to have adversarial effects on their development (Collins et al. 2017). Meanwhile, virtual sex education, especially on subjects that are more relevant to the LGBTQIA+ community, is very valuable (Mitchell et al. 2014). The platform{'}s current system removes/punishes some of both types of videos, even though they serve different purposes. Our dataset contains video URLs, and it is also audio transcribed. To validate its importance, we explore two transformer-based models for classifying the videos. Our preliminary results suggest that the task of distinguishing between these types of videos is learnable but challenging. These experiments suggest that this dataset is meaningful and invites further study on the subject.\\\",\\n}\\n\\n\",\"author_short\":[\"George, E.\",\"Surdeanu, M.\"],\"key\":\"george-surdeanu-2023-sexually\",\"id\":\"george-surdeanu-2023-sexually\",\"bibbaseid\":\"george-surdeanu-itsnotsexuallysuggestiveitseducativeseparatingsexeducationfromsuggestivecontentontiktokvideos-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2023.findings-acl.365\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":3,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms\",\"author\":[{\"firstnames\":[\"Robert\"],\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"suffixes\":[]},{\"firstnames\":[\"Dane\"],\"propositions\":[],\"lastnames\":[\"Bell\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"PANDL\",\"abstract\":\"In this paper we revisit the direction of using lexico-syntactic patterns for relation extraction instead of today's ubiquitous neural classifiers. We propose a semi-supervised graph-based algorithm for pattern acquisition that scores patterns and the relations they extract jointly, using a variant of PageRank. We insert light supervision in the form of seed patterns or relations, and model it with several custom teleportation probabilities that bias random-walk scores of patterns/relations based on their proximity to correct information. We evaluate our approach on Few-Shot TACRED, and show that our method outperforms (or performs competitively with) more expensive and opaque deep neural networks. Lastly, we thoroughly compare our proposed approach with the seminal RlogF pattern acquisition algorithm of, showing that it outperforms it for all the hyper parameters tested, in all settings. \",\"url\":\"https://aclanthology.org/2022.pandl-1.1.pdf\",\"year\":\"2022\",\"bibtex\":\"@inproceedings{Vacareanu2022PatternRankJR,\\n    title = {PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms},\\n    author = {Robert Vacareanu and Dane Bell and Mihai Surdeanu},\\n    booktitle = {PANDL},\\n    abstract=\\\"{In this paper we revisit the direction of using lexico-syntactic patterns for relation extraction instead of today's ubiquitous neural classifiers. We propose a semi-supervised graph-based algorithm for pattern acquisition that scores patterns and the relations they extract jointly, using a variant of PageRank. We insert light supervision in the form of seed patterns or relations, and model it with several custom teleportation probabilities that bias random-walk scores of patterns/relations based on their proximity to correct information. We evaluate our approach on Few-Shot TACRED, and show that our method outperforms (or performs competitively with) more expensive and opaque deep neural networks. Lastly, we thoroughly compare our proposed approach with the seminal RlogF pattern acquisition algorithm of, showing that it outperforms it for all the hyper parameters tested, in all settings. }\\\",\\n    url = {https://aclanthology.org/2022.pandl-1.1.pdf},\\n    year = {2022}\\n}\\n\\n\",\"author_short\":[\"Vacareanu, R.\",\"Bell, D.\",\"Surdeanu, M.\"],\"key\":\"Vacareanu2022PatternRankJR\",\"id\":\"Vacareanu2022PatternRankJR\",\"bibbaseid\":\"vacareanu-bell-surdeanu-patternrankjointlyrankingpatternsandextractionsforrelationextractionusinggraphbasedalgorithms-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2022.pandl-1.1.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction\",\"author\":[{\"firstnames\":[\"Robert\"],\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"suffixes\":[]},{\"firstnames\":[\"George\",\"Caique\",\"Gouveia\"],\"propositions\":[],\"lastnames\":[\"Barbosa\"],\"suffixes\":[]},{\"firstnames\":[\"Enrique\"],\"propositions\":[],\"lastnames\":[\"Noriega-Atala\"],\"suffixes\":[]},{\"firstnames\":[\"Gus\"],\"propositions\":[],\"lastnames\":[\"Hahn-Powell\"],\"suffixes\":[]},{\"firstnames\":[\"Rebecca\"],\"propositions\":[],\"lastnames\":[\"Sharp\"],\"suffixes\":[]},{\"firstnames\":[\"Marco\",\"Antonio\"],\"propositions\":[],\"lastnames\":[\"Valenzuela-Escarcega\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"journal\":\"Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations\",\"abstract\":\"We propose a system that assists a user in constructing transparent information extraction models, consisting of patterns (or rules) written in a declarative language, through program synthesis.Users of our system can specify their requirements through the use of examples,which are collected with a search interface.The rule-synthesis system proposes rule candidates and the results of applying them on a textual corpus; the user has the option to accept the candidate, request another option, or adjust the examples provided to the system.Through an interactive evaluation, we show that our approach generates high-precision rules even in a 1-shot setting. On a second evaluation on a widely-used relation extraction dataset (TACRED), our method generates rules that outperform considerably manually written patterns.Our code, demo, and documentation is available at https://clulab.github.io/odinsynth.\",\"url\":\"https://aclanthology.org/2022.naacl-demo.8.pdf\",\"year\":\"2022\",\"bibtex\":\"@article{Vacareanu2022AHI,\\n    title = {A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction},\\n    author = {Robert Vacareanu and George Caique Gouveia Barbosa and Enrique Noriega-Atala and Gus Hahn-Powell and Rebecca Sharp and Marco Antonio Valenzuela-Escarcega and Mihai Surdeanu},\\n    journal = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations},\\n    abstract = \\\"{We propose a system that assists a user in constructing transparent information extraction models, consisting of patterns (or rules) written in a declarative language, through program synthesis.Users of our system can specify their requirements through the use of examples,which are collected with a search interface.The rule-synthesis system proposes rule candidates and the results of applying them on a textual corpus; the user has the option to accept the candidate, request another option, or adjust the examples provided to the system.Through an interactive evaluation, we show that our approach generates high-precision rules even in a 1-shot setting. On a second evaluation on a widely-used relation extraction dataset (TACRED), our method generates rules that outperform considerably manually written patterns.Our code, demo, and documentation is available at https://clulab.github.io/odinsynth.}\\\",\\n    url = {https://aclanthology.org/2022.naacl-demo.8.pdf},\\n    year = {2022}\\n}\\n\\n\",\"author_short\":[\"Vacareanu, R.\",\"Barbosa, G. C. G.\",\"Noriega-Atala, E.\",\"Hahn-Powell, G.\",\"Sharp, R.\",\"Valenzuela-Escarcega, M. A.\",\"Surdeanu, M.\"],\"key\":\"Vacareanu2022AHI\",\"id\":\"Vacareanu2022AHI\",\"bibbaseid\":\"vacareanu-barbosa-noriegaatala-hahnpowell-sharp-valenzuelaescarcega-surdeanu-ahumanmachineinterfaceforfewshotrulesynthesisforinformationextraction-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2022.naacl-demo.8.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":4,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Rule Based Event Extraction for Artificial Social Intelligence\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Nitschke\"],\"firstnames\":[\"Remo\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wang\"],\"firstnames\":[\"Yuwei\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chen\"],\"firstnames\":[\"Chen\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pyarelal\"],\"firstnames\":[\"Adarsh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sharp\"],\"firstnames\":[\"Rebecca\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning\",\"month\":\"October\",\"year\":\"2022\",\"address\":\"Gyeongju, Republic of Korea\",\"publisher\":\"International Conference on Computational Linguistics\",\"url\":\"https://aclanthology.org/2022.pandl-1.9\",\"pages\":\"71–84\",\"abstract\":\"Natural language (as opposed to structured communication modes such as Morse code) is by far the most common mode of communication between humans, and can thus provide significant insight into both individual mental states and interpersonal dynamics. As part of DARPA's Artificial Social Intelligence for Successful Teams (ASIST) program, we are developing an AI agent team member that constructs and maintains models of their human teammates and provides appropriate task-relevant advice to improve team processes and mission performance. One of the key components of this agent is a module that uses a rule-based approach to extract task-relevant events from natural language utterances in real time, and publish them for consumption by downstream components. In this case study, we evaluate the performance of our rule-based event extraction system on a recently conducted ASIST experiment consisting of a simulated urban search and rescue mission in Minecraft. We compare the performance of our approach with that of a zero-shot neural classifier, and find that our approach outperforms the classifier for all event types, even when the classifier is used in an oracle setting where it knows how many events should be extracted from each utterance.\",\"bibtex\":\"@inproceedings{nitschke-etal-2022-rule,\\n    title = \\\"Rule Based Event Extraction for Artificial Social Intelligence\\\",\\n    author = \\\"Nitschke, Remo  and\\n      Wang, Yuwei  and\\n      Chen, Chen  and\\n      Pyarelal, Adarsh  and\\n      Sharp, Rebecca\\\",\\n    booktitle = \\\"Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning\\\",\\n    month = oct,\\n    year = \\\"2022\\\",\\n    address = \\\"Gyeongju, Republic of Korea\\\",\\n    publisher = \\\"International Conference on Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2022.pandl-1.9\\\",\\n    pages = \\\"71--84\\\",\\n    abstract = \\\"Natural language (as opposed to structured communication modes\\n        such as Morse code) is by far the most common mode of communication\\n        between humans, and can thus provide significant insight into both\\n        individual mental states and interpersonal dynamics. As part of\\n        DARPA{'}s Artificial Social Intelligence for Successful Teams (ASIST)\\n        program, we are developing an AI agent team member that constructs and\\n        maintains models of their human teammates and provides appropriate\\n        task-relevant advice to improve team processes and mission performance.\\n        One of the key components of this agent is a module that uses a\\n        rule-based approach to extract task-relevant events from natural\\n        language utterances in real time, and publish them for consumption by\\n        downstream components. In this case study, we evaluate the performance\\n        of our rule-based event extraction system on a recently conducted ASIST\\n        experiment consisting of a simulated urban search and rescue mission in\\n        Minecraft. We compare the performance of our approach with that of a\\n        zero-shot neural classifier, and find that our approach outperforms the\\n        classifier for all event types, even when the classifier is used in an\\n        oracle setting where it knows how many events should be extracted from\\n        each utterance.\\\",\\n}\\n\\n\",\"author_short\":[\"Nitschke, R.\",\"Wang, Y.\",\"Chen, C.\",\"Pyarelal, A.\",\"Sharp, R.\"],\"key\":\"nitschke-etal-2022-rule\",\"id\":\"nitschke-etal-2022-rule\",\"bibbaseid\":\"nitschke-wang-chen-pyarelal-sharp-rulebasedeventextractionforartificialsocialintelligence-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2022.pandl-1.9\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Zupon\"],\"firstnames\":[\"Andrew\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rafique\"],\"firstnames\":[\"Faiz\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP\",\"url\":\"http://clulab.org/papers/insights2020-capsnet.pdf\",\"year\":\"2020\",\"bibtex\":\"@inproceedings{zupon2020capsnet,\\n  title={An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios},\\n  author={Zupon, Andrew and Rafique, Faiz and Surdeanu, Mihai},\\n  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP},\\n  url={http://clulab.org/papers/insights2020-capsnet.pdf},\\n  year={2020}\\n}\\n\\n\",\"author_short\":[\"Zupon, A.\",\"Rafique, F.\",\"Surdeanu, M.\"],\"key\":\"zupon2020capsnet\",\"id\":\"zupon2020capsnet\",\"bibbaseid\":\"zupon-rafique-surdeanu-ananalysisofcapsulenetworksforpartofspeechtagginginhighandlowresourcescenarios-2020\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/insights2020-capsnet.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":10,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Liang\"],\"firstnames\":[\"Zhengzhong\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP\",\"url\":\"http://clulab.org/papers/emnlp2020-can.pdf\",\"year\":\"2020\",\"bibtex\":\"@inproceedings{liang2020can,\\n  title={Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?},\\n  author={Liang, Zhengzhong and Surdeanu, Mihai},\\n  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP},\\n  url={http://clulab.org/papers/emnlp2020-can.pdf},\\n  year={2020}\\n}\\n\\n\",\"author_short\":[\"Liang, Z.\",\"Surdeanu, M.\"],\"key\":\"liang2020can\",\"id\":\"liang2020can\",\"bibbaseid\":\"liang-surdeanu-dotransformersdreamofinferenceorcanpretrainedgenerativemodelslearnimplicitinferentialrules-2020\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/emnlp2020-can.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":16,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19\",\"author\":[{\"firstnames\":[\"Hoang\"],\"propositions\":[],\"lastnames\":[\"Van\"],\"suffixes\":[]},{\"firstnames\":[\"Ahmad\"],\"propositions\":[],\"lastnames\":[\"Musa\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]},{\"firstnames\":[\"Stephen\"],\"propositions\":[],\"lastnames\":[\"Kobourov\"],\"suffixes\":[]}],\"journal\":\"arXiv preprint arXiv:2010.07466\",\"url\":\"https://arxiv.org/abs/2010.07466\",\"year\":\"2020\",\"bibtex\":\"@article{van2020covid,\\n  title={The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19},\\n  author={Hoang Van and Ahmad Musa and Mihai Surdeanu and Stephen Kobourov},\\n  journal={arXiv preprint arXiv:2010.07466},\\n  url={https://arxiv.org/abs/2010.07466},\\n  year={2020}\\n}\\n\\n\",\"author_short\":[\"Van, H.\",\"Musa, A.\",\"Surdeanu, M.\",\"Kobourov, S.\"],\"key\":\"van2020covid\",\"id\":\"van2020covid\",\"bibbaseid\":\"van-musa-surdeanu-kobourov-thelanguageoffoodduringthepandemichintsaboutthedietaryeffectsofcovid19-2020\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/abs/2010.07466\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":20,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Liang\"],\"firstnames\":[\"Zhengzhong\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zhao\"],\"firstnames\":[\"Yiyun\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"journal\":\"arXiv preprint arXiv:2009.10791\",\"url\":\"https://arxiv.org/abs/2009.10791\",\"year\":\"2020\",\"bibtex\":\"@article{liang2020using,\\n  title={Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering},\\n  author={Liang, Zhengzhong and Zhao, Yiyun and Surdeanu, Mihai},\\n  journal={arXiv preprint arXiv:2009.10791},\\n  url = \\\"https://arxiv.org/abs/2009.10791\\\",\\n  year={2020}\\n}\\n\\n\",\"author_short\":[\"Liang, Z.\",\"Zhao, Y.\",\"Surdeanu, M.\"],\"key\":\"liang2020using\",\"id\":\"liang2020using\",\"bibbaseid\":\"liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforevidenceretrievalforquestionanswering-2020\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/abs/2009.10791\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":11,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Jansen\"],\"firstnames\":[\"Peter\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Balasubramanian\"],\"firstnames\":[\"Niranjan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Clark\"],\"firstnames\":[\"Peter\"],\"suffixes\":[]}],\"title\":\"What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams\",\"booktitle\":\"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers\",\"month\":\"December\",\"year\":\"2016\",\"address\":\"Osaka, Japan\",\"publisher\":\"The COLING 2016 Organizing Committee\",\"pages\":\"2956-2965\",\"url\":\"http://aclweb.org/anthology/C16-1278\",\"url_data\":\"http://allenai.org/data.html\",\"bibtex\":\"@InProceedings{jansen-EtAl:2016:COLING,\\n  author    = {Jansen, Peter  and  Balasubramanian, Niranjan  and  Surdeanu, Mihai  and  Clark, Peter},\\n  title     = {What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams},\\n  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},\\n  month     = {December},\\n  year      = {2016},\\n  address   = {Osaka, Japan},\\n  publisher = {The COLING 2016 Organizing Committee},\\n  pages     = {2956-2965},\\n  url       = {http://aclweb.org/anthology/C16-1278},\\n  url_Data  = {http://allenai.org/data.html},\\n}\\n\",\"author_short\":[\"Jansen, P.\",\"Balasubramanian, N.\",\"Surdeanu, M.\",\"Clark, P.\"],\"key\":\"jansen-EtAl:2016:COLING\",\"id\":\"jansen-EtAl:2016:COLING\",\"bibbaseid\":\"jansen-balasubramanian-surdeanu-clark-whatsinanexplanationcharacterizingknowledgeandinferencerequirementsforelementaryscienceexams-2016\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://aclweb.org/anthology/C16-1278\",\" data\":\"http://allenai.org/data.html\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Identifying meaningful citations\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Valenzuela\"],\"firstnames\":[\"Marco\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ha\"],\"firstnames\":[\"Vu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Etzioni\"],\"firstnames\":[\"Oren\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the \\\"Scholarly Big Data: AI Perspectives, Challenges, and Ideas\\\" Workshop at the Twenty-Ninth AAAI Conference on Artificial Intelligence\",\"year\":\"2015\",\"url\":\"http://ai2-website.s3.amazonaws.com/publications/ValenzuelaHaMeaningfulCitations.pdf\",\"bibtex\":\"@inproceedings{valenzuela2015identifying,\\n  title={Identifying meaningful citations},\\n  author={Valenzuela, Marco and Ha, Vu and Etzioni, Oren},\\n  booktitle={Proceedings of the \\\"Scholarly Big Data: AI Perspectives, Challenges, and Ideas\\\" Workshop at the Twenty-Ninth AAAI Conference on Artificial Intelligence},\\n  year={2015},\\n  url={http://ai2-website.s3.amazonaws.com/publications/ValenzuelaHaMeaningfulCitations.pdf}\\n}\\n\",\"author_short\":[\"Valenzuela, M.\",\"Ha, V.\",\"Etzioni, O.\"],\"key\":\"valenzuela2015identifying\",\"id\":\"valenzuela2015identifying\",\"bibbaseid\":\"valenzuela-ha-etzioni-identifyingmeaningfulcitations-2015\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://ai2-website.s3.amazonaws.com/publications/ValenzuelaHaMeaningfulCitations.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"year\":\"2014\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Jansen\"],\"firstnames\":[\"Peter\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Clark\"],\"firstnames\":[\"Peter\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)\",\"title\":\"Discourse Complements Lexical Semantics for Non-factoid Answer Reranking\",\"url\":\"http://clulab.org/papers/acl2014.pdf\",\"url_code_and_data\":\"http://nlp.sista.arizona.edu/releases/acl2014/\",\"url_slides\":\"http://nlp.sista.arizona.edu/releases/acl2014/\",\"bibtex\":\"@inproceedings{Jansen:14,\\n\\tyear = {2014},\\n\\tauthor = {Jansen, Peter and Surdeanu, Mihai and Clark, Peter},\\n\\tbooktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)},\\n\\ttitle = {Discourse Complements Lexical Semantics for Non-factoid Answer Reranking},\\n  url = {http://clulab.org/papers/acl2014.pdf},\\n  url_Code_And_Data = {http://nlp.sista.arizona.edu/releases/acl2014/},\\n  url_Slides = {http://nlp.sista.arizona.edu/releases/acl2014/},\\n}\\n\",\"author_short\":[\"Jansen, P.\",\"Surdeanu, M.\",\"Clark, P.\"],\"key\":\"Jansen:14\",\"id\":\"Jansen:14\",\"bibbaseid\":\"jansen-surdeanu-clark-discoursecomplementslexicalsemanticsfornonfactoidanswerreranking-2014\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/acl2014.pdf\",\" code and data\":\"http://nlp.sista.arizona.edu/releases/acl2014/\",\" slides\":\"http://nlp.sista.arizona.edu/releases/acl2014/\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"year\":\"2014\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Manning\"],\"firstnames\":[\"Christopher\",\"D.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bauer\"],\"firstnames\":[\"John\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Finkel\"],\"firstnames\":[\"Jenny\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bethard\"],\"firstnames\":[\"Steven\",\"J.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"McClosky\"],\"firstnames\":[\"David\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)\",\"title\":\"The Stanford CoreNLP Natural Language Processing Toolkit\",\"url\":\"http://clulab.org/papers/acl2014-corenlp.pdf\",\"url_code\":\"http://nlp.stanford.edu/software/corenlp.shtml\",\"bibtex\":\"@inproceedings{Manning:14,\\n\\tyear = {2014},\\n\\tauthor = {Manning, Christopher D. and Surdeanu, Mihai and Bauer, John and Finkel, Jenny and Bethard, Steven J. and McClosky, David},\\n\\tbooktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)},\\n\\ttitle = {The Stanford CoreNLP Natural Language Processing Toolkit},\\n  url = {http://clulab.org/papers/acl2014-corenlp.pdf},\\n  url_Code = {http://nlp.stanford.edu/software/corenlp.shtml},\\n}\\n\",\"author_short\":[\"Manning, C. D.\",\"Surdeanu, M.\",\"Bauer, J.\",\"Finkel, J.\",\"Bethard, S. J.\",\"McClosky, D.\"],\"key\":\"Manning:14\",\"id\":\"Manning:14\",\"bibbaseid\":\"manning-surdeanu-bauer-finkel-bethard-mcclosky-thestanfordcorenlpnaturallanguageprocessingtoolkit-2014\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/acl2014-corenlp.pdf\",\" code\":\"http://nlp.stanford.edu/software/corenlp.shtml\"},\"metadata\":{\"authorlinks\":{\"bethard, s\":\"https://bethard.github.io/publications.html\"}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Valenzuela-Escarcega\"],\"firstnames\":[\"Marco\",\"A.\"],\"suffixes\":[]},{\"firstnames\":[\"Gustave\"],\"propositions\":[],\"lastnames\":[\"Hahn-Powell\"],\"suffixes\":[]},{\"firstnames\":[\"Thomas\"],\"propositions\":[],\"lastnames\":[\"Hicks\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"title\":\"A Domain-independent Rule-based Framework for Event Extraction\",\"booktitle\":\"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Assian Federation of Natural Language Processing: Software Demonstrations (ACL-IJCNLP)\",\"year\":\"2015\",\"url\":\"http://clulab.org/papers/acl2015.pdf\",\"url_code\":\"https://github.com/sistanlp/processors\",\"bibtex\":\"@InProceedings{Valenzuela:15,\\n  author    = {Valenzuela-Escarcega, Marco A. and Gustave Hahn-Powell and Thomas Hicks and Mihai Surdeanu},\\n  title     = {A Domain-independent Rule-based Framework for Event Extraction},\\n  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Assian Federation of Natural Language Processing: Software Demonstrations (ACL-IJCNLP)},\\n  year      = {2015},\\n  url      = {http://clulab.org/papers/acl2015.pdf},\\n  url_Code  = {https://github.com/sistanlp/processors},\\n}\\n\",\"author_short\":[\"Valenzuela-Escarcega, M. A.\",\"Hahn-Powell, G.\",\"Hicks, T.\",\"Surdeanu, M.\"],\"key\":\"Valenzuela:15\",\"id\":\"Valenzuela:15\",\"bibbaseid\":\"valenzuelaescarcega-hahnpowell-hicks-surdeanu-adomainindependentrulebasedframeworkforeventextraction-2015\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/acl2015.pdf\",\" code\":\"https://github.com/sistanlp/processors\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":5,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"year\":\"2014\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Fried\"],\"firstnames\":[\"Daniel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kobourov\"],\"firstnames\":[\"Stephen\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hingle\"],\"firstnames\":[\"Melanie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bell\"],\"firstnames\":[\"Dane\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 2014 IEEE International Conference on Big Data\",\"title\":\"Analyzing the Language of Food on Social Media\",\"url\":\"http://clulab.org/papers/bigdata2014.pdf\",\"url_supplmental_material\":\"http://arxiv.org/abs/1409.2195\",\"url_demo\":\"https://sites.google.com/site/twitter4food/\",\"bibtex\":\"@inproceedings{Fried:14,\\n\\tyear = {2014},\\n\\tauthor = {Fried, Daniel and Surdeanu, Mihai and Kobourov, Stephen and Hingle, Melanie and Bell, Dane},\\n\\tbooktitle = {Proceedings of the 2014 IEEE International Conference on Big Data},\\n\\ttitle = {Analyzing the Language of Food on Social Media},\\n  url = {http://clulab.org/papers/bigdata2014.pdf},\\n  url_Supplmental_Material = {http://arxiv.org/abs/1409.2195},\\n  url_Demo = {https://sites.google.com/site/twitter4food/},\\n}\\n\",\"author_short\":[\"Fried, D.\",\"Surdeanu, M.\",\"Kobourov, S.\",\"Hingle, M.\",\"Bell, D.\"],\"key\":\"Fried:14\",\"id\":\"Fried:14\",\"bibbaseid\":\"fried-surdeanu-kobourov-hingle-bell-analyzingthelanguageoffoodonsocialmedia-2014\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/bigdata2014.pdf\",\" supplmental material\":\"http://arxiv.org/abs/1409.2195\",\" demo\":\"https://sites.google.com/site/twitter4food/\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":3,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Valenzuela-Escarcega\"],\"firstnames\":[\"Marco\",\"A.\"],\"suffixes\":[]},{\"firstnames\":[\"Gustave\"],\"propositions\":[],\"lastnames\":[\"Hahn-Powell\"],\"suffixes\":[]},{\"firstnames\":[\"Dane\"],\"propositions\":[],\"lastnames\":[\"Bell\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"title\":\"SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction\",\"booktitle\":\"Proceedings of the 2016 Workshop on Biomedical Natural Language Processing (BioNLP 2016)\",\"year\":\"2016\",\"url\":\"https://arxiv.org/abs/1606.09604\",\"bibtex\":\"@InProceedings{Valenzuela:16b,\\n  author    = {Valenzuela-Escarcega, Marco A. and Gustave Hahn-Powell and Dane Bell and Mihai Surdeanu},\\n  title     = {SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction},\\n  booktitle = {Proceedings of the 2016 Workshop on Biomedical Natural Language Processing (BioNLP 2016)},\\n  year      = {2016},\\n  url       = {https://arxiv.org/abs/1606.09604},\\n}\\n\",\"author_short\":[\"Valenzuela-Escarcega, M. 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L.\",\"Surdeanu, M.\"],\"key\":\"Intxaurrondo:15\",\"id\":\"Intxaurrondo:15\",\"bibbaseid\":\"intxaurrondo-agirre-delacalle-surdeanu-diamondsintherougheventextractionfromimperfectmicroblogdata-2015\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/naacl2015-ee.pdf\",\" data\":\"http://ixa.eus/Ixa/Argitalpenak/Artikuluak/1425465524/publikoak/earthquake-kb-dataset.zip\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Sharp\"],\"firstnames\":[\"Rebecca\"],\"suffixes\":[]},{\"firstnames\":[\"Peter\"],\"propositions\":[],\"lastnames\":[\"Jansen\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]},{\"firstnames\":[\"Peter\"],\"propositions\":[],\"lastnames\":[\"Clark\"],\"suffixes\":[]}],\"title\":\"Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering\",\"booktitle\":\"Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT)\",\"year\":\"2015\",\"url\":\"http://clulab.org/papers/naacl2015-qa.pdf\",\"url_data_and_some_code\":\"http://surdeanu.cs.arizona.edu/mihai/papers/straw2gold.zip\",\"bibtex\":\"@InProceedings{Sharp:15,\\n  author    = {Sharp, Rebecca and Peter Jansen and Mihai Surdeanu and Peter Clark},\\n  title     = {Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering},\\n  booktitle = {Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT)},\\n  year      = {2015},\\n  url       = {http://clulab.org/papers/naacl2015-qa.pdf},\\n  url_Data_and_Some_Code = {http://surdeanu.cs.arizona.edu/mihai/papers/straw2gold.zip},\\n}\\n\",\"author_short\":[\"Sharp, R.\",\"Jansen, P.\",\"Surdeanu, M.\",\"Clark, P.\"],\"key\":\"Sharp:15\",\"id\":\"Sharp:15\",\"bibbaseid\":\"sharp-jansen-surdeanu-clark-spinningstrawintogoldusingfreetexttotrainmonolingualalignmentmodelsfornonfactoidquestionanswering-2015\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/naacl2015-qa.pdf\",\" data and some code\":\"http://surdeanu.cs.arizona.edu/mihai/papers/straw2gold.zip\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"year\":\"2013\",\"author\":[{\"firstnames\":[\"Ander\"],\"propositions\":[],\"lastnames\":[\"Intxaurrondo\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]},{\"firstnames\":[\"Oier\",\"Lopez\"],\"propositions\":[\"de\"],\"lastnames\":[\"Lacalle\"],\"suffixes\":[]},{\"firstnames\":[\"Eneko\"],\"propositions\":[],\"lastnames\":[\"Agirre\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 29th \\\"Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural\\\" (SEPLN 2013)\",\"title\":\"Removing Noisy Mentions for Distant Supervision\",\"url\":\"http://clulab.org/papers/sepln13.pdf\",\"bibtex\":\"@inproceedings{intxaurrondo13,\\n\\tyear = {2013},\\n\\tauthor = {Ander Intxaurrondo and Mihai Surdeanu and Oier Lopez de Lacalle and Eneko Agirre},\\n\\tbooktitle = {Proceedings of the 29th \\\"Congreso de la Sociedad Espa{\\\\~{n}}ola para el Procesamiento del Lenguaje Natural\\\" (SEPLN 2013)},\\n\\ttitle = {Removing Noisy Mentions for Distant Supervision},\\n  url = {http://clulab.org/papers/sepln13.pdf},\\n}\\n\",\"author_short\":[\"Intxaurrondo, A.\",\"Surdeanu, M.\",\"de Lacalle, O. L.\",\"Agirre, E.\"],\"key\":\"intxaurrondo13\",\"id\":\"intxaurrondo13\",\"bibbaseid\":\"intxaurrondo-surdeanu-delacalle-agirre-removingnoisymentionsfordistantsupervision-2013\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/sepln13.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"year\":\"2014\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Tran\"],\"firstnames\":[\"Anh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cohen\"],\"firstnames\":[\"Paul\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM)\",\"title\":\"Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge\",\"url\":\"http://clulab.org/papers/starsem2014.pdf\",\"url_slides\":\"http://clulab.org/papers/starsem2014_slides.pdf\",\"bibtex\":\"@inproceedings{Tran:14,\\n\\tyear = {2014},\\n\\tauthor = {Tran, Anh and Surdeanu, Mihai and Cohen, Paul},\\n\\tbooktitle = {Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM)},\\n\\ttitle = {Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge},\\n  url = {http://clulab.org/papers/starsem2014.pdf},\\n  url_Slides = {http://clulab.org/papers/starsem2014_slides.pdf},\\n}\\n\",\"author_short\":[\"Tran, A.\",\"Surdeanu, M.\",\"Cohen, P.\"],\"key\":\"Tran:14\",\"id\":\"Tran:14\",\"bibbaseid\":\"tran-surdeanu-cohen-extractinglatentattributesfromvideoscenesusingtextasbackgroundknowledge-2014\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/starsem2014.pdf\",\" slides\":\"http://clulab.org/papers/starsem2014_slides.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"firstnames\":[\"Daniel\"],\"propositions\":[],\"lastnames\":[\"Fried\"],\"suffixes\":[]},{\"firstnames\":[\"Peter\"],\"propositions\":[],\"lastnames\":[\"Jansen\"],\"suffixes\":[]},{\"firstnames\":[\"Gustave\"],\"propositions\":[],\"lastnames\":[\"Hahn-Powell\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]},{\"firstnames\":[\"Peter\"],\"propositions\":[],\"lastnames\":[\"Clark\"],\"suffixes\":[]}],\"title\":\"Higher-order Lexical Semantic Models for Non-factoid Answer Reranking\",\"journal\":\"Transactions of the Association for Computational Linguistics\",\"volume\":\"3\",\"year\":\"2015\",\"keywords\":\"\",\"abstract\":\"Lexical semantic models provide robust performance for question answering, but, in general, can only capitalize on direct evidence seen during training. For example, monolingual alignment models acquire term alignment probabilities from semi-structured data such as question-answer pairs; neural network language models learn term embeddings from unstructured text. All this knowledge is then used to estimate the semantic similarity between question and answer candidates. We introduce a higher-order formalism that allows all these lexical semantic models to chain direct evidence to construct indirect associations between question and answer texts, by casting the task as the traversal of graphs that encode direct term associations. Using a corpus of 10,000 questions from Yahoo! Answers, we experimentally demonstrate that higher-order methods are broadly applicable to alignment and language models, across both word and syntactic representations. We show that an important criterion for success is controlling for the semantic drift that accumulates during graph traversal. All in all, the proposed higher-order approach improves five out of the six lexical semantic models investigated, with relative gains of up to +13% over their first-order variants. \",\"issn\":\"2307-387X\",\"url\":\"https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/550\",\"pages\":\"197-210\",\"bibtex\":\"@article{Fried:2015,\\n        author = {Daniel Fried and Peter Jansen and Gustave Hahn-Powell and Mihai\\nSurdeanu and Peter Clark},\\n        title = {Higher-order Lexical Semantic Models for Non-factoid Answer\\nReranking},\\n        journal = {Transactions of the Association for Computational Linguistics},\\n        volume = {3},\\n        year = {2015},\\n        keywords = {},\\n        abstract = {Lexical semantic models provide robust performance for question\\nanswering, but, in general, can only capitalize on direct evidence seen\\nduring training. For example, monolingual alignment models acquire term\\nalignment probabilities from semi-structured data such as question-answer\\npairs; neural network language models learn term embeddings from\\nunstructured text. All this knowledge is then used to estimate the semantic\\nsimilarity between question and answer candidates.  We introduce a\\nhigher-order formalism that allows all these lexical semantic models to\\nchain direct evidence to construct indirect associations between question\\nand answer texts, by casting the task as the traversal of graphs that encode\\ndirect term associations.  Using a corpus of 10,000 questions from Yahoo!\\nAnswers, we experimentally demonstrate that higher-order methods are broadly\\napplicable to alignment and language models, across both word and syntactic\\nrepresentations. We show that an important criterion for success is\\ncontrolling for the semantic drift that accumulates during graph traversal.\\nAll in all, the proposed higher-order approach improves five out of the six\\nlexical semantic models investigated, with relative gains of up to +13\\\\%\\nover their first-order variants. },\\n        issn = {2307-387X},\\n        url =\\n{https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/550},\\n        pages = {197-210}\\n}\\n\",\"author_short\":[\"Fried, D.\",\"Jansen, P.\",\"Hahn-Powell, G.\",\"Surdeanu, M.\",\"Clark, P.\"],\"key\":\"Fried:2015\",\"id\":\"Fried:2015\",\"bibbaseid\":\"fried-jansen-hahnpowell-surdeanu-clark-higherorderlexicalsemanticmodelsfornonfactoidanswerreranking-2015\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/550\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":3,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"year\":\"2013\",\"author\":[{\"firstnames\":[\"Angus\"],\"propositions\":[],\"lastnames\":[\"Forbes\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]},{\"firstnames\":[\"Peter\"],\"propositions\":[],\"lastnames\":[\"Jansen\"],\"suffixes\":[]},{\"firstnames\":[\"Jane\"],\"propositions\":[],\"lastnames\":[\"Carrington\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 3rd IEEE Workshop on Interactive Visual Text Analytics\",\"title\":\"Transmitting Narrative: An Interactive Shift-Summarization Tool for Improving Nurse Communication\",\"url\":\"http://clulab.org/papers/textvis2013.pdf\",\"bibtex\":\"@inproceedings{Forbes:13,\\n\\tyear = {2013},\\n\\tauthor = {Angus Forbes and Mihai Surdeanu and Peter Jansen and Jane Carrington},\\n\\tbooktitle = {Proceedings of the 3rd IEEE Workshop on Interactive Visual Text Analytics},\\n\\ttitle = {Transmitting Narrative: An Interactive Shift-Summarization Tool for Improving Nurse Communication},\\n  url = {http://clulab.org/papers/textvis2013.pdf},\\n}\\n\",\"author_short\":[\"Forbes, A.\",\"Surdeanu, M.\",\"Jansen, P.\",\"Carrington, J.\"],\"key\":\"Forbes:13\",\"id\":\"Forbes:13\",\"bibbaseid\":\"forbes-surdeanu-jansen-carrington-transmittingnarrativeaninteractiveshiftsummarizationtoolforimprovingnursecommunication-2013\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/textvis2013.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Description of the odin event extraction framework and rule language\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Valenzuela-Escarcega\"],\"firstnames\":[\"Marco\",\"A\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hahn-Powell\"],\"firstnames\":[\"Gus\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"journal\":\"arXiv preprint arXiv:1509.07513\",\"year\":\"2015\",\"url\":\"https://arxiv.org/pdf/1509.07513\",\"bibtex\":\"@article{valenzuela2015description,\\n  title={Description of the odin event extraction framework and rule language},\\n  author={Valenzuela-Escarcega, Marco A and Hahn-Powell, Gus and Surdeanu, Mihai},\\n  journal={arXiv preprint arXiv:1509.07513},\\n  year={2015},\\n  url={https://arxiv.org/pdf/1509.07513},\\n}\\n\",\"author_short\":[\"Valenzuela-Escarcega, M. A\",\"Hahn-Powell, G.\",\"Surdeanu, M.\"],\"key\":\"valenzuela2015description\",\"id\":\"valenzuela2015description\",\"bibbaseid\":\"valenzuelaescarcega-hahnpowell-surdeanu-descriptionoftheodineventextractionframeworkandrulelanguage-2015\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/pdf/1509.07513\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":25,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Bayesian modeling of scenes and captions\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Colin\",\"R.\",\"Dawson\"],\"firstnames\":[\"Luca\",\"Del\",\"Pero\"],\"suffixes\":[\"Clayton\",\"T.\",\"Morrison\",\",\",\"Mihai\",\"Surdeanu\",\",\",\"Gustave\",\"Hahn-Powell\",\",\",\"Zachary\",\"Chapman\"]},{\"firstnames\":[\"Kobus\"],\"propositions\":[],\"lastnames\":[\"Barnard\"],\"suffixes\":[]}],\"year\":\"2013\",\"booktitle\":\"Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2013), Workshop on Vision and Language (WVL)\",\"url_slides\":\"http://surdeanu.info/mihai/papers/wvl2013_slides.pdf\",\"bibtex\":\"@InProceedings{Colin:NAACLHLT2013,\\ntitle={Bayesian modeling of scenes and captions},\\nauthor={Colin R. 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Phenomena\",\"booktitle\":\"Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC'18)\",\"year\":\"2018\",\"month\":\"May\",\"address\":\"Miyazaki, Japan\",\"publisher\":\"European Language Resources Association (ELRA)\",\"url_code\":\"https://github.com/CreativeCodingLab/TextAnnotationGraphs\",\"url\":\"https://arxiv.org/pdf/1711.00529.pdf\",\"bibtex\":\"@inproceedings{TAG-2018,\\n    author = {Angus G. Forbes and Kristine Lee and Gus Hahn-Powell and Marco A. Valenzuela-Escarcega and Mihai Surdeanu},\\n    title = {Text Annotation Graphs: Annotating Complex Natural Language Phenomena},\\n    booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC'18)},\\n    year = {2018},\\n    month = {May},\\n    address = {Miyazaki, Japan},\\n    publisher = {European Language Resources Association (ELRA)},\\n    url_code = {https://github.com/CreativeCodingLab/TextAnnotationGraphs},\\n    url = {https://arxiv.org/pdf/1711.00529.pdf}\\n }\\n\",\"author_short\":[\"Forbes, A. G.\",\"Lee, K.\",\"Hahn-Powell, G.\",\"Valenzuela-Escarcega, M. A.\",\"Surdeanu, M.\"],\"key\":\"TAG-2018\",\"id\":\"TAG-2018\",\"bibbaseid\":\"forbes-lee-hahnpowell-valenzuelaescarcega-surdeanu-textannotationgraphsannotatingcomplexnaturallanguagephenomena-2018\",\"role\":\"author\",\"urls\":{\" code\":\"https://github.com/CreativeCodingLab/TextAnnotationGraphs\",\"Paper\":\"https://arxiv.org/pdf/1711.00529.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Ajay\"],\"propositions\":[],\"lastnames\":[\"Nagesh\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"title\":\"Keep your bearings: Lightly-supervised Information Extraction with Ladder Networks that avoids Semantic Drift\",\"booktitle\":\"NAACL HLT 2018, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, USA, Jun 1 - June 6, 2018\",\"year\":\"2018\",\"url\":\"http://clulab.org/papers/naaclhlt2018.pdf\",\"bibtex\":\"@inproceedings{DBLP:conf/naacl/ANMS18,\\n  author    = {Ajay Nagesh and\\n               Mihai Surdeanu},\\n  title     = {Keep your bearings: Lightly-supervised Information Extraction with Ladder Networks that avoids Semantic Drift},\\n  booktitle = {{NAACL} {HLT} 2018, The 16th Annual Conference of the North American Chapter\\n               of the Association for Computational Linguistics: Human Language Technologies,\\n               New Orleans, Louisiana, USA, Jun 1 - June 6, 2018},\\n  year      = {2018},\\n  url = {http://clulab.org/papers/naaclhlt2018.pdf}\\n}\\n\",\"author_short\":[\"Nagesh, A.\",\"Surdeanu, M.\"],\"key\":\"DBLP:conf/naacl/ANMS18\",\"id\":\"DBLP:conf/naacl/ANMS18\",\"bibbaseid\":\"nagesh-surdeanu-keepyourbearingslightlysupervisedinformationextractionwithladdernetworksthatavoidssemanticdrift-2018\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/naaclhlt2018.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Scientific Discovery as Link Prediction in Influence and Citation Graphs\",\"author\":[{\"firstnames\":[\"Fan\"],\"propositions\":[],\"lastnames\":[\"Luo\"],\"suffixes\":[]},{\"firstnames\":[\"Marco\",\"A.\"],\"propositions\":[],\"lastnames\":[\"Valenzuela-Escarcega\"],\"suffixes\":[]},{\"firstnames\":[\"Gus\"],\"propositions\":[],\"lastnames\":[\"Hahn-Powell\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"TextGraphs: 12th Workshop on Graph-Based Natural Language Processing\",\"year\":\"2018\",\"abstract\":\"We introduce a machine learning approach for the identification of ``white spaces'' in scientific knowledge. Our approach addresses this task as link prediction over a graph that contains over 2M influence statements such as ``CTCF activates FOXA1'', which were automatically extracted using open-domain machine reading. We model this prediction task using graph-based features extracted from the above influence graph, as well as from a citation graph that captures scientific communities. We evaluated the proposed approach through backtesting. Although the data is heavily unbalanced (50 times more negative examples than positives), our approach predicts which influence links will be discovered in the ``near future'' with a F1 score of 27 points, and a mean average precision of 68%. \",\"organization\":\"NAACL\",\"url_slides\":\"http://clulab.org/papers/TextGraphs.pdf\",\"url\":\"http://clulab.org/papers/ScientificDiscoveryasLinkPredictioninInfluenceandCitationGraphs.pdf\",\"bibtex\":\"@inproceedings{whitespaces-identification2018,\\n  title={Scientific Discovery as Link Prediction in Influence and Citation Graphs},\\n  author={Fan Luo and\\n      \\tMarco A. Valenzuela-Escarcega and\\n        Gus Hahn-Powell and\\n        Mihai Surdeanu},\\n  booktitle = {TextGraphs: 12th Workshop on Graph-Based Natural Language Processing},\\n  year={2018},\\n  abstract = {We introduce a machine learning approach for the identification of ``white spaces'' in scientific knowledge. Our approach addresses this task as link prediction over a graph that contains over 2M influence statements such as ``CTCF activates FOXA1'', which were automatically extracted using open-domain machine reading. We model this prediction task using graph-based features extracted from the above influence graph, as well as from a citation graph that captures scientific communities. We evaluated the proposed approach through backtesting. Although the data is heavily unbalanced (50 times more negative examples than positives), our approach predicts which influence links will be discovered in the ``near future'' with a F1 score of 27 points, and a mean average precision of 68\\\\%. },\\n  organization={NAACL},\\n  url_Slides={http://clulab.org/papers/TextGraphs.pdf},\\n  url={http://clulab.org/papers/ScientificDiscoveryasLinkPredictioninInfluenceandCitationGraphs.pdf}\\n}\\n\",\"author_short\":[\"Luo, F.\",\"Valenzuela-Escarcega, M. A.\",\"Hahn-Powell, G.\",\"Surdeanu, M.\"],\"key\":\"whitespaces-identification2018\",\"id\":\"whitespaces-identification2018\",\"bibbaseid\":\"luo-valenzuelaescarcega-hahnpowell-surdeanu-scientificdiscoveryaslinkpredictionininfluenceandcitationgraphs-2018\",\"role\":\"author\",\"urls\":{\" slides\":\"http://clulab.org/papers/TextGraphs.pdf\",\"Paper\":\"http://clulab.org/papers/ScientificDiscoveryasLinkPredictioninInfluenceandCitationGraphs.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":57,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Yadav\"],\"firstnames\":[\"Vikas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sharp\"],\"firstnames\":[\"Rebecca\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)\",\"year\":\"2018\",\"url\":\"https://arxiv.org/pdf/1807.01836.pdf\",\"bibtex\":\"@inproceedings{vikasy_ARC_2018,\\n  title={Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge},\\n  author={Yadav, Vikas and Sharp, Rebecca and Surdeanu, Mihai},\\n  booktitle = \\\"Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)\\\",\\n  year={2018},\\n  url = {https://arxiv.org/pdf/1807.01836.pdf}\\n}\\n\",\"author_short\":[\"Yadav, V.\",\"Sharp, R.\",\"Surdeanu, M.\"],\"key\":\"vikasy_ARC_2018\",\"id\":\"vikasy_ARC_2018\",\"bibbaseid\":\"yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/pdf/1807.01836.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Yadav\"],\"firstnames\":[\"Vikas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sharp\"],\"firstnames\":[\"Rebecca\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"year\":\"2018\",\"url\":\"https://arxiv.org/pdf/1807.01836.pdf\",\"bibtex\":\"@article{vikasy_ARC_2018,\\n  title={Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge},\\n  author={Yadav, Vikas and Sharp, Rebecca and Surdeanu, Mihai},\\n  year={2018},\\n  url = {https://arxiv.org/pdf/1807.01836.pdf}\\n}\\n\",\"author_short\":[\"Yadav, V.\",\"Sharp, R.\",\"Surdeanu, M.\"],\"key\":\"vikasy_ARC_2018-1\",\"id\":\"vikasy_ARC_2018-1\",\"bibbaseid\":\"yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/pdf/1807.01836.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Lightly-supervised Representation Learning with Global Interpretability\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Valenzuela-Escarcega\"],\"firstnames\":[\"Marco\",\"A\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Nagesh\"],\"firstnames\":[\"Ajay\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"arXiv\",\"year\":\"2018\",\"url\":\"https://arxiv.org/abs/1805.11545/\",\"bibtex\":\"@inproceedings{lrec2018,\\n  title={Lightly-supervised Representation Learning with Global Interpretability},\\n  author={Valenzuela-Escarcega, Marco A  and Nagesh, Ajay and Surdeanu, Mihai},\\n  booktitle={arXiv},\\n  year={2018},\\n  url={https://arxiv.org/abs/1805.11545/}\\n}\\n\",\"author_short\":[\"Valenzuela-Escarcega, M. A\",\"Nagesh, A.\",\"Surdeanu, M.\"],\"key\":\"lrec2018-1\",\"id\":\"lrec2018-1\",\"bibbaseid\":\"valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2018\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/abs/1805.11545/\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Rebecca\"],\"propositions\":[],\"lastnames\":[\"Sharp\"],\"suffixes\":[]},{\"firstnames\":[\"Mithun\"],\"propositions\":[],\"lastnames\":[\"Paul\"],\"suffixes\":[]},{\"firstnames\":[\"Ajay\"],\"propositions\":[],\"lastnames\":[\"Nagesh\"],\"suffixes\":[]},{\"firstnames\":[\"Dane\"],\"propositions\":[],\"lastnames\":[\"Bell\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"title\":\"Grounding gradable adjectives through crowdsourcing\",\"booktitle\":\"Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)\",\"year\":\"2018\",\"month\":\"May\",\"date\":\"7-12\",\"location\":\"Miyazaki, 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Kousik, Aditya and Ishihara, Terron and Surdeanu, Mihai and Kobourov, Stephen},\\n  booktitle = {Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI)},\\n  year      = {2018},\\n  url = {http://clulab.org/papers/louhi2018-t2dmrisk.pdf},\\n  url_Slides = {http://clulab.org/papers/louhi2018-emnlp.pptx}\\n}\\n\",\"author_short\":[\"Bell, D.\",\"Laparra, E.\",\"Kousik, A.\",\"Ishihara, T.\",\"Surdeanu, M.\",\"Kobourov, S.\"],\"key\":\"bell2018detecting\",\"id\":\"bell2018detecting\",\"bibbaseid\":\"bell-laparra-kousik-ishihara-surdeanu-kobourov-detectingdiabetesriskfromsocialmediaactivity-2018\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/louhi2018-t2dmrisk.pdf\",\" slides\":\"http://clulab.org/papers/louhi2018-emnlp.pptx\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"firstnames\":[\"Jun\"],\"propositions\":[],\"lastnames\":[\"Zhou\"],\"suffixes\":[]},{\"firstnames\":[\"Dane\"],\"propositions\":[],\"lastnames\":[\"Bell\"],\"suffixes\":[]},{\"firstnames\":[\"Sabina\"],\"propositions\":[],\"lastnames\":[\"Nusrat\"],\"suffixes\":[]},{\"firstnames\":[\"Melanie\",\"D.\\\\\"],\"propositions\":[],\"lastnames\":[\"Hingle\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]},{\"firstnames\":[\"Stephen\"],\"propositions\":[],\"lastnames\":[\"Kobourov\"],\"suffixes\":[]}],\"title\":\"Calorie estimation from pictures of food: Crowdsourcing study\",\"journal\":\"Interactive Journal of Medical Research (IJMR)\",\"url\":\"http://clulab.org/papers/Zhou2018.pdf\",\"doi\":\"10.2196/ijmr.9359\",\"year\":\"2018\",\"bibtex\":\"@Article{Zhou:2018,\\n  author    = {Jun Zhou and Dane Bell and Sabina Nusrat and Melanie D.\\\\ Hingle and Mihai Surdeanu and Stephen Kobourov},\\n  title     = {Calorie estimation from pictures of food: Crowdsourcing study},\\n  journal = {Interactive Journal of Medical Research (IJMR)},\\n  url = {http://clulab.org/papers/Zhou2018.pdf},\\n  doi = {10.2196/ijmr.9359},\\n  year = {2018}\\n}\\n\",\"author_short\":[\"Zhou, J.\",\"Bell, D.\",\"Nusrat, S.\",\"Hingle, M. 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\\\"http://clulab.org/papers/trustNLP2021_edin.pdf\\\"\\n}\\n\",\"author_short\":[\"Tang, Z.\",\"Surdeanu, M.\"],\"key\":\"zheng-tang-2021-edin\",\"id\":\"zheng-tang-2021-edin\",\"bibbaseid\":\"tang-surdeanu-interpretabilityrulesjointlybootstrappinganeuralrelationextractorwithanexplanationdecoder-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/trustNLP2021_edin.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":23,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Culnan\"],\"firstnames\":[\"John\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Park\"],\"firstnames\":[\"Seongjin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Krishnaswamy\"],\"firstnames\":[\"Meghavarshini\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sharp\"],\"firstnames\":[\"Rebecca\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis\",\"month\":\"April\",\"year\":\"2021\",\"url\":\"https://www.aclweb.org/anthology/2021.wassa-1.26\",\"pages\":\"250–256\",\"bibtex\":\"@inproceedings{culnan-etal-2021-ire,\\n    title = \\\"Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection\\\",\\n    author = \\\"Culnan, John  and\\n      Park, Seongjin  and\\n      Krishnaswamy, Meghavarshini  and\\n      Sharp, Rebecca\\\",\\n    booktitle = \\\"Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis\\\",\\n    month = apr,\\n    year = \\\"2021\\\",\\n    url = \\\"https://www.aclweb.org/anthology/2021.wassa-1.26\\\",\\n    pages = \\\"250--256\\\"\\n}\\n\",\"author_short\":[\"Culnan, J.\",\"Park, S.\",\"Krishnaswamy, M.\",\"Sharp, R.\"],\"key\":\"culnan-etal-2021-ire\",\"id\":\"culnan-etal-2021-ire\",\"bibbaseid\":\"culnan-park-krishnaswamy-sharp-memyselfandireeffectsofautomatictranscriptionqualityonemotionsarcasmandpersonalitydetection-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.aclweb.org/anthology/2021.wassa-1.26\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading\",\"author\":[{\"firstnames\":[\"Hoang\"],\"propositions\":[],\"lastnames\":[\"Van\"],\"suffixes\":[]},{\"firstnames\":[\"Vikas\"],\"propositions\":[],\"lastnames\":[\"Yadav\"],\"suffixes\":[]},{\"firstnames\":[\"M.\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"journal\":\"ArXiv\",\"year\":\"2021\",\"volume\":\"abs/2106.04134\",\"url\":\"https://arxiv.org/pdf/2106.04134.pdf\",\"bibtex\":\"@article{Van2021CheapAG,\\n  title={Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading},\\n  author={Hoang Van and Vikas Yadav and M. Surdeanu},\\n  journal={ArXiv},\\n  year={2021},\\n  volume={abs/2106.04134},\\n  url={https://arxiv.org/pdf/2106.04134.pdf}\\n}\\n\",\"author_short\":[\"Van, H.\",\"Yadav, V.\",\"Surdeanu, M.\"],\"key\":\"Van2021CheapAG\",\"id\":\"Van2021CheapAG\",\"bibbaseid\":\"van-yadav-surdeanu-cheapandgoodsimpleandeffectivedataaugmentationforlowresourcemachinereading-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/pdf/2106.04134.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mithun\"],\"firstnames\":[\"Mitch\",\"Paul\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Suntwal\"],\"firstnames\":[\"Sandeep\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing\",\"pages\":\"6968–6973\",\"year\":\"2021\",\"url\":\"https://aclanthology.org/2021.emnlp-main.558.pdf\",\"bibtex\":\"@inproceedings{mithun2021students,\\n  title={Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification},\\n  author={Mithun, Mitch Paul and Suntwal, Sandeep and Surdeanu, Mihai},\\n  booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},\\n  pages={6968--6973},\\n  year={2021},\\n  url={https://aclanthology.org/2021.emnlp-main.558.pdf}\\n}\\n\",\"author_short\":[\"Mithun, M. P.\",\"Suntwal, S.\",\"Surdeanu, M.\"],\"key\":\"mithun2021students\",\"id\":\"mithun2021students\",\"bibbaseid\":\"mithun-suntwal-surdeanu-studentswhostudytogetherlearnbetterontheimportanceofcollectiveknowledgedistillationfordomaintransferinfactverification-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2021.emnlp-main.558.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":5,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Van\"],\"firstnames\":[\"Hoang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tang\"],\"firstnames\":[\"Zheng\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: EMNLP 2021\",\"month\":\"November\",\"year\":\"2021\",\"address\":\"Punta Cana, Dominican Republic\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2021.findings-emnlp.343\",\"pages\":\"4074–4080\",\"abstract\":\"The general goal of text simplification (TS) is to reduce text complexity for human consumption. In this paper, we investigate another potential use of neural TS: assisting machines performing natural language processing (NLP) tasks. We evaluate the use of neural TS in two ways: simplifying input texts at prediction time and augmenting data to provide machines with additional information during training. We demonstrate that the latter scenario provides positive effects on machine performance on two separate datasets. In particular, the latter use of TS improves the performances of LSTM (1.82–1.98%) and SpanBERT (0.7–1.3%) extractors on TACRED, a complex, large-scale, real-world relation extraction task. Further, the same setting yields improvements of up to 0.65% matched and 0.62% mismatched accuracies for a BERT text classifier on MNLI, a practical natural language inference dataset.\",\"bibtex\":\"@inproceedings{van-etal-2021-may-help,\\n    title = \\\"How May {I} Help You? Using Neural Text Simplification to Improve Downstream {NLP} Tasks\\\",\\n    author = \\\"Van, Hoang  and\\n      Tang, Zheng  and\\n      Surdeanu, Mihai\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: EMNLP 2021\\\",\\n    month = nov,\\n    year = \\\"2021\\\",\\n    address = \\\"Punta Cana, Dominican Republic\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2021.findings-emnlp.343\\\",\\n    pages = \\\"4074--4080\\\",\\n    abstract = \\\"The general goal of text simplification (TS) is to reduce text complexity for human consumption. In this paper, we investigate another potential use of neural TS: assisting machines performing natural language processing (NLP) tasks. We evaluate the use of neural TS in two ways: simplifying input texts at prediction time and augmenting data to provide machines with additional information during training. We demonstrate that the latter scenario provides positive effects on machine performance on two separate datasets. In particular, the latter use of TS improves the performances of LSTM (1.82{--}1.98{\\\\%}) and SpanBERT (0.7{--}1.3{\\\\%}) extractors on TACRED, a complex, large-scale, real-world relation extraction task. Further, the same setting yields improvements of up to 0.65{\\\\%} matched and 0.62{\\\\%} mismatched accuracies for a BERT text classifier on MNLI, a practical natural language inference dataset.\\\",\\n}\\n\",\"author_short\":[\"Van, H.\",\"Tang, Z.\",\"Surdeanu, M.\"],\"key\":\"van-etal-2021-may-help\",\"id\":\"van-etal-2021-may-help\",\"bibbaseid\":\"van-tang-surdeanu-howmayihelpyouusingneuraltextsimplificationtoimprovedownstreamnlptasks-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2021.findings-emnlp.343\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":9,\"html\":\"\"},{\"bibtype\":\"misc\",\"type\":\"misc\",\"title\":\"Neural Architectures for Biological Inter-Sentence Relation Extraction\",\"author\":[{\"firstnames\":[\"Enrique\"],\"propositions\":[],\"lastnames\":[\"Noriega-Atala\"],\"suffixes\":[]},{\"firstnames\":[\"Peter\",\"M.\"],\"propositions\":[],\"lastnames\":[\"Lovett\"],\"suffixes\":[]},{\"firstnames\":[\"Clayton\",\"T.\"],\"propositions\":[],\"lastnames\":[\"Morrison\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"year\":\"2021\",\"eprint\":\"2112.09288\",\"archiveprefix\":\"arXiv\",\"primaryclass\":\"cs.CL\",\"bibtex\":\"@misc{noriegaatala2021neural,\\n      title={Neural Architectures for Biological Inter-Sentence Relation Extraction},\\n      author={Enrique Noriega-Atala and Peter M. Lovett and Clayton T. Morrison and Mihai Surdeanu},\\n      year={2021},\\n      eprint={2112.09288},\\n      archivePrefix={arXiv},\\n      primaryClass={cs.CL}\\n}\\n\",\"author_short\":[\"Noriega-Atala, E.\",\"Lovett, P. M.\",\"Morrison, C. T.\",\"Surdeanu, M.\"],\"key\":\"noriegaatala2021neural\",\"id\":\"noriegaatala2021neural\",\"bibbaseid\":\"noriegaatala-lovett-morrison-surdeanu-neuralarchitecturesforbiologicalintersentencerelationextraction-2021\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Tang\"],\"firstnames\":[\"Zheng\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"title\":\"It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers\",\"journal\":\"Computational Linguistics\",\"volume\":\"49\",\"number\":\"1\",\"pages\":\"117-156\",\"year\":\"2023\",\"month\":\"03\",\"abstract\":\"We propose an explainable approach for relation extraction that mitigates the tension between generalization and explainability by jointly training for the two goals. Our approach uses a multi-task learning architecture, which jointly trains a classifier for relation extraction, and a sequence model that labels words in the context of the relations that explain the decisions of the relation classifier. We also convert the model outputs to rules to bring global explanations to this approach. This sequence model is trained using a hybrid strategy: supervised, when supervision from pre-existing patterns is available, and semi-supervised otherwise. In the latter situation, we treat the sequence model’s labels as latent variables, and learn the best assignment that maximizes the performance of the relation classifier. We evaluate the proposed approach on the two datasets and show that the sequence model provides labels that serve as accurate explanations for the relation classifier’s decisions, and, importantly, that the joint training generally improves the performance of the relation classifier. We also evaluate the performance of the generated rules and show that the new rules are a great add-on to the manual rules and bring the rule-based system much closer to the neural models.\",\"issn\":\"0891-2017\",\"doi\":\"10.1162/coli_a_00463\",\"url\":\"https://doi.org/10.1162/coli\\\\_a\\\\_00463\",\"eprint\":\"https://direct.mit.edu/coli/article-pdf/49/1/117/2068962/coli_a_00463.pdf\",\"bibtex\":\"@article{10.1162/coli_a_00463,\\n    author = {Tang, Zheng and Surdeanu, Mihai},\\n    title = \\\"{It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers}\\\",\\n    journal = {Computational Linguistics},\\n    volume = {49},\\n    number = {1},\\n    pages = {117-156},\\n    year = {2023},\\n    month = {03},\\n    abstract = \\\"{We propose an explainable approach for relation extraction that mitigates the tension between generalization and explainability by jointly training for the two goals. Our approach uses a multi-task learning architecture, which jointly trains a classifier for relation extraction, and a sequence model that labels words in the context of the relations that explain the decisions of the relation classifier. We also convert the model outputs to rules to bring global explanations to this approach. This sequence model is trained using a hybrid strategy: supervised, when supervision from pre-existing patterns is available, and semi-supervised otherwise. In the latter situation, we treat the sequence model’s labels as latent variables, and learn the best assignment that maximizes the performance of the relation classifier. We evaluate the proposed approach on the two datasets and show that the sequence model provides labels that serve as accurate explanations for the relation classifier’s decisions, and, importantly, that the joint training generally improves the performance of the relation classifier. We also evaluate the performance of the generated rules and show that the new rules are a great add-on to the manual rules and bring the rule-based system much closer to the neural models.}\\\",\\n    issn = {0891-2017},\\n    doi = {10.1162/coli_a_00463},\\n    url = {https://doi.org/10.1162/coli\\\\_a\\\\_00463},\\n    eprint = {https://direct.mit.edu/coli/article-pdf/49/1/117/2068962/coli\\\\_a\\\\_00463.pdf},\\n}\\n\",\"author_short\":[\"Tang, Z.\",\"Surdeanu, M.\"],\"key\":\"10.1162/coli_a_00463\",\"id\":\"10.1162/coli_a_00463\",\"bibbaseid\":\"tang-surdeanu-ittakestwoflintstomakeafiremultitasklearningofneuralrelationandexplanationclassifiers-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://doi.org/10.1162/coli\\\\_a\\\\_00463\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":44,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"SuMe: A Dataset Towards Summarizing Biomedical 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N.\"],\"key\":\"bastan2022-sume\",\"id\":\"bastan2022-sume\",\"bibbaseid\":\"bastan-shankar-surdeanu-balasubramanian-sumeadatasettowardssummarizingbiomedicalmechanisms-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/SuMe_LREC2022.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Bastan\"],\"firstnames\":[\"Mohaddeseh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Balasubramanian\"],\"firstnames\":[\"Niranjan\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)\",\"year\":\"2023\",\"url\":\"https://aclanthology.org/2023.acl-long.528.pdf\",\"bibtex\":\"@inproceedings{bastan2023-structural,\\n  title={NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints},\\n  author={Bastan, Mohaddeseh and Surdeanu, Mihai and Balasubramanian, Niranjan},\\n  booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},\\n  year={2023},\\n  url={https://aclanthology.org/2023.acl-long.528.pdf}\\n}\\n\\n\",\"author_short\":[\"Bastan, M.\",\"Surdeanu, M.\",\"Balasubramanian, N.\"],\"key\":\"bastan2023-structural\",\"id\":\"bastan2023-structural\",\"bibbaseid\":\"bastan-surdeanu-balasubramanian-neurostructuraldecodingneuraltextgenerationwithstructuralconstraints-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2023.acl-long.528.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Do Transformer Networks Improve the Discovery of Rules from Text?\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Rahimi\"],\"firstnames\":[\"Mahdi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 13th Language Resources and Evaluation Conference (LREC)\",\"year\":\"2022\",\"url\":\"http://clulab.org/papers/bird.pdf\",\"url_poster\":\"http://clulab.org/papers/can_poster.pdf\",\"bibtex\":\"@inproceedings{rahimi2022bird,\\n  title={Do Transformer Networks Improve the Discovery of Rules from Text?},\\n  author={Rahimi, Mahdi and Surdeanu, Mihai},\\n  booktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},\\n  year={2022},\\n  url={http://clulab.org/papers/bird.pdf},\\n  url_Poster={http://clulab.org/papers/can_poster.pdf}\\n}\\n\",\"author_short\":[\"Rahimi, M.\",\"Surdeanu, M.\"],\"key\":\"rahimi2022bird\",\"id\":\"rahimi2022bird\",\"bibbaseid\":\"rahimi-surdeanu-dotransformernetworksimprovethediscoveryofrulesfromtext-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/bird.pdf\",\" poster\":\"http://clulab.org/papers/can_poster.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":26,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"A STEP towards Interpretable Multi-Hop Reasoning: Bridge Phrase Identification and Query Expansion\",\"author\":[{\"firstnames\":[\"Fan\"],\"propositions\":[],\"lastnames\":[\"Luo\"],\"suffixes\":[]},{\"firstnames\":[\"Mihai\"],\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"suffixes\":[]}],\"booktitle\":\"The 13th edition of Language Resources and Evaluation Conference Processing\",\"year\":\"2022\",\"abstract\":\"We propose an unsupervised method for the identification of bridge phrases in multi-hop question answering (QA). Our method constructs a graph of noun phrases from the question and the available context, and applies the Steiner tree algorithm to identify the minimal sub-graph that connects all question phrases. Nodes in the sub-graph that bridge loosely-connected or disjoint subsets of question phrases due to low-strength semantic relations are extracted as bridge phrases. The identified bridge phrases are then used to expand the query based on the initial question, helping in increasing the relevance of evidence that has little lexical overlap or semantic relation with the question. Through an evaluation on HotpotQA(Yang et al., 2018), a popular dataset for multi-hop QA, we show that our method yields: (a) improved evidence retrieval, (b) improved QA performance when using the retrieved sentences; and (c) effective and faithful explanations when answers are provided.\",\"organization\":\"European Language Resource Association (ELRA)\",\"url\":\"http://clulab.org/papers/bridgephrases.pdf\",\"bibtex\":\"@inproceedings{bridgephrases-identification2022,\\n  title={A STEP towards Interpretable Multi-Hop Reasoning: Bridge Phrase Identification and Query Expansion},\\n  author={Fan Luo and\\n        Mihai Surdeanu},\\n  booktitle = {The 13th edition of Language Resources and Evaluation Conference Processing},\\n  year={2022},\\n  abstract = {We propose an unsupervised method for the identification of bridge phrases in multi-hop question answering (QA). Our method\\nconstructs a graph of noun phrases from the question and the available context, and applies the Steiner tree algorithm to identify\\nthe minimal sub-graph that connects all question phrases. Nodes in the sub-graph that bridge loosely-connected or disjoint\\nsubsets of question phrases due to low-strength semantic relations are extracted as bridge phrases. The identified bridge phrases\\nare then used to expand the query based on the initial question, helping in increasing the relevance of evidence that has little\\nlexical overlap or semantic relation with the question. Through an evaluation on HotpotQA(Yang et al., 2018), a popular dataset\\nfor multi-hop QA, we show that our method yields: (a) improved evidence retrieval, (b) improved QA performance when using\\nthe retrieved sentences; and (c) effective and faithful explanations when answers are provided.},\\n  organization={European Language Resource Association (ELRA)},\\n  url={http://clulab.org/papers/bridgephrases.pdf}\\n}\\n\\n\",\"author_short\":[\"Luo, F.\",\"Surdeanu, M.\"],\"key\":\"bridgephrases-identification2022\",\"id\":\"bridgephrases-identification2022\",\"bibbaseid\":\"luo-surdeanu-asteptowardsinterpretablemultihopreasoningbridgephraseidentificationandqueryexpansion-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/bridgephrases.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":3,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Combining Extraction and Generation for Constructing Belief-Consequence Causal Links\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Alexeeva\"],\"firstnames\":[\"Maria\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Beal\",\"Cohen\"],\"firstnames\":[\"Allegra\",\"A.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Third Workshop on Insights from Negative Results in NLP\",\"month\":\"May\",\"year\":\"2022\",\"address\":\"Dublin, Ireland\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2022.insights-1.22\",\"pages\":\"159–164\",\"abstract\":\"In this paper, we introduce and justify a new task—causal link extraction based on beliefs—and do a qualitative analysis of the ability of a large language model—InstructGPT-3—to generate implicit consequences of beliefs. With the language model-generated consequences being promising, but not consistent, we propose directions of future work, including data collection, explicit consequence extraction using rule-based and language modeling-based approaches, and using explicitly stated consequences of beliefs to fine-tune or prompt the language model to produce outputs suitable for the task.\",\"bibtex\":\"@inproceedings{alexeeva-etal-2022-combining,\\n    title = \\\"Combining Extraction and Generation for Constructing Belief-Consequence Causal Links\\\",\\n    author = \\\"Alexeeva, Maria  and\\n      Beal Cohen, Allegra A.  and\\n      Surdeanu, Mihai\\\",\\n    booktitle = \\\"Proceedings of the Third Workshop on Insights from Negative Results in NLP\\\",\\n    month = may,\\n    year = \\\"2022\\\",\\n    address = \\\"Dublin, Ireland\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2022.insights-1.22\\\",\\n    pages = \\\"159--164\\\",\\n    abstract = \\\"In this paper, we introduce and justify a new task{---}causal link extraction based on beliefs{---}and do a qualitative analysis of the ability of a large language model{---}InstructGPT-3{---}to generate implicit consequences of beliefs. With the language model-generated consequences being promising, but not consistent, we propose directions of future work, including data collection, explicit consequence extraction using rule-based and language modeling-based approaches, and using explicitly stated consequences of beliefs to fine-tune or prompt the language model to produce outputs suitable for the task.\\\",\\n}\\n\",\"author_short\":[\"Alexeeva, M.\",\"Beal Cohen, A. A.\",\"Surdeanu, M.\"],\"key\":\"alexeeva-etal-2022-combining\",\"id\":\"alexeeva-etal-2022-combining\",\"bibbaseid\":\"alexeeva-bealcohen-surdeanu-combiningextractionandgenerationforconstructingbeliefconsequencecausallinks-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2022.insights-1.22\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Automatic Correction of Syntactic Dependency Annotation Differences\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Zupon\"],\"firstnames\":[\"Andrew\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Carnie\"],\"firstnames\":[\"Andrew\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hammond\"],\"firstnames\":[\"Michael\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 13th Language Resources and Evaluation Conference (LREC)\",\"year\":\"2022\",\"url\":\"http://clulab.org/papers/lrec-parsing.pdf\",\"bibtex\":\"@inproceedings{zupon2022lparsinglrec,\\n\\ttitle={Automatic Correction of Syntactic Dependency Annotation Differences},\\n\\tauthor={Zupon, Andrew and Carnie, Andrew and Hammond, Michael and Surdeanu, Mihai},\\n\\tbooktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},\\n\\tyear={2022},\\n\\turl={http://clulab.org/papers/lrec-parsing.pdf}\\n}\\n\\n\",\"author_short\":[\"Zupon, A.\",\"Carnie, A.\",\"Hammond, M.\",\"Surdeanu, M.\"],\"key\":\"zupon2022lparsinglrec\",\"id\":\"zupon2022lparsinglrec\",\"bibbaseid\":\"zupon-carnie-hammond-surdeanu-automaticcorrectionofsyntacticdependencyannotationdifferences-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/lrec-parsing.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"doi\":\"10.48550/ARXIV.2205.15281\",\"url\":\"https://arxiv.org/abs/2205.15281\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Noriega-Atala\"],\"firstnames\":[\"Enrique\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Morrison\"],\"firstnames\":[\"Clayton\",\"T.\"],\"suffixes\":[]}],\"title\":\"Learning Open Domain Multi-hop Search Using Reinforcement Learning\",\"booktitle\":\"Proceedings of the Workshop on Structured and Unstructured Knowledge Integration\",\"month\":\"July\",\"year\":\"2022\",\"address\":\"Seattle, Washington\",\"publisher\":\"Association for Computational Linguistics\",\"bibtex\":\"@inproceedings{https://doi.org/10.48550/arxiv.2205.15281,\\n  doi = {10.48550/ARXIV.2205.15281},\\n  url = {https://arxiv.org/abs/2205.15281},\\n  author = {Noriega-Atala, Enrique and Surdeanu, Mihai and Morrison, Clayton T.},\\n  title = {Learning Open Domain Multi-hop Search Using Reinforcement Learning},\\n  booktitle = \\\"Proceedings of the Workshop on Structured and Unstructured Knowledge Integration\\\",\\n  month = jul,\\n  year = \\\"2022\\\",\\n  address = \\\"Seattle, Washington\\\",\\n  publisher = \\\"Association for Computational Linguistics\\\",\\n}\\n\\n\",\"author_short\":[\"Noriega-Atala, E.\",\"Surdeanu, M.\",\"Morrison, C. T.\"],\"key\":\"https://doi.org/10.48550/arxiv.2205.15281\",\"id\":\"https://doi.org/10.48550/arxiv.2205.15281\",\"bibbaseid\":\"noriegaatala-surdeanu-morrison-learningopendomainmultihopsearchusingreinforcementlearning-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/abs/2205.15281\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Vacareanu\"],\"firstnames\":[\"Robert\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Valenzuela-Escárcega\"],\"firstnames\":[\"Marco\",\"A.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Barbosa\"],\"firstnames\":[\"George\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sharp\"],\"firstnames\":[\"Rebecca\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 13th Language Resources and Evaluation Conference (LREC)\",\"year\":\"2022\",\"url\":\"https://arxiv.org/abs/2202.00475\",\"bibtex\":\"@inproceedings{vacareanu2022synthlrec,\\n        title={From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction},\\n        author={Vacareanu, Robert and Valenzuela-Esc\\\\'{a}rcega, Marco A. and Barbosa, George and Sharp, Rebecca and Surdeanu, Mihai},\\n        booktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},\\n        year={2022},\\n        url={https://arxiv.org/abs/2202.00475},\\n}\\n\\n\",\"author_short\":[\"Vacareanu, R.\",\"Valenzuela-Escárcega, M. A.\",\"Barbosa, G.\",\"Sharp, R.\",\"Surdeanu, M.\"],\"key\":\"vacareanu2022synthlrec\",\"id\":\"vacareanu2022synthlrec\",\"bibbaseid\":\"vacareanu-valenzuelaescrcega-barbosa-sharp-surdeanu-fromexamplestorulesneuralguidedrulesynthesisforinformationextraction-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://arxiv.org/abs/2202.00475\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":16,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Answering Geosciences Research Questions at a Global Scale via a Hybrid Machine-Human Learning Approach: A Case Study of the Link between Climate and Volcanism\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Park\"],\"firstnames\":[\"Seongjin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Carrapa\"],\"firstnames\":[\"Barbara\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ducea\"],\"firstnames\":[\"Mihai\",\"N.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hayes\"],\"firstnames\":[\"Robert\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Collins\"],\"firstnames\":[\"Dan\"],\"suffixes\":[]}],\"journal\":\"GSA Today\",\"url\":\"https://www.geosociety.org/GSA/Publications/GSA_Today/GSA/GSAToday/science/G528A/article.aspx\",\"doi\":\"https://doi.org/10.1130/GSATG528A.1\",\"year\":\"2022\",\"bibtex\":\"@Article{park2022geo,\\n  title     = {Answering Geosciences Research Questions at a Global Scale via a Hybrid Machine-Human Learning Approach: A Case Study of the Link between Climate and Volcanism},\\n  author  = {Park, Seongjin and Carrapa, Barbara and Ducea, Mihai N. and Surdeanu, Mihai and Hayes, Robert and Collins, Dan},\\n  journal = {GSA Today},\\n  url = {https://www.geosociety.org/GSA/Publications/GSA_Today/GSA/GSAToday/science/G528A/article.aspx},\\n  doi = {https://doi.org/10.1130/GSATG528A.1},\\n  year = {2022}\\n}\\n\\n\",\"author_short\":[\"Park, S.\",\"Carrapa, B.\",\"Ducea, M. N.\",\"Surdeanu, M.\",\"Hayes, R.\",\"Collins, D.\"],\"key\":\"park2022geo\",\"id\":\"park2022geo\",\"bibbaseid\":\"park-carrapa-ducea-surdeanu-hayes-collins-answeringgeosciencesresearchquestionsataglobalscaleviaahybridmachinehumanlearningapproachacasestudyofthelinkbetweenclimateandvolcanism-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.geosociety.org/GSA/Publications/GSA_Today/GSA/GSAToday/science/G528A/article.aspx\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":10,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Bastan\"],\"firstnames\":[\"Mohaddeseh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Balasubramanian\"],\"firstnames\":[\"Niranjan\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: EMNLP 2022\",\"year\":\"2022\",\"url\":\"https://paperswithcode.com/paper/bionli-generating-a-biomedical-nli-dataset\",\"bibtex\":\"@inproceedings{bastan-etal-2022-bionli,\\n    title = \\\"BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples\\\",\\n    author = \\\"Bastan, Mohaddeseh and Surdeanu, Mihai and Balasubramanian, Niranjan \\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: EMNLP 2022\\\",\\n    year = \\\"2022\\\",\\n    url = \\\"https://paperswithcode.com/paper/bionli-generating-a-biomedical-nli-dataset\\\",\\n}\\n\\n\",\"author_short\":[\"Bastan, M.\",\"Surdeanu, M.\",\"Balasubramanian, N.\"],\"key\":\"bastan-etal-2022-bionli\",\"id\":\"bastan-etal-2022-bionli\",\"bibbaseid\":\"bastan-surdeanu-balasubramanian-bionligeneratingabiomedicalnlidatasetusinglexicosemanticconstraintsforadversarialexamples-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://paperswithcode.com/paper/bionli-generating-a-biomedical-nli-dataset\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":6,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Validity Assessment of Legal Will Statements as Natural Language Inference\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Kwak\"],\"firstnames\":[\"Alice\",\"S.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Israelsen\"],\"firstnames\":[\"Jacob\",\"O.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Morrison\"],\"firstnames\":[\"Clayton\",\"T.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bambauer\"],\"firstnames\":[\"Derek\",\"E.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Findings of the Association for Computational Linguistics: EMNLP 2022\",\"year\":\"2022\",\"url\":\"http://clulab.org/papers/kwak2022.pdf\",\"bibtex\":\"@inproceedings{kwak-etal-2022-legalnli,\\n    title = \\\"Validity Assessment of Legal Will Statements as Natural Language Inference\\\",\\n    author = \\\"Kwak, Alice S. and Israelsen, Jacob O. and Morrison, Clayton T. and Bambauer, Derek E. and Surdeanu, Mihai\\\",\\n    booktitle = \\\"Findings of the Association for Computational Linguistics: EMNLP 2022\\\",\\n    year = \\\"2022\\\",\\n    url = \\\"http://clulab.org/papers/kwak2022.pdf\\\",\\n}\\n\",\"author_short\":[\"Kwak, A. S.\",\"Israelsen, J. O.\",\"Morrison, C. T.\",\"Bambauer, D. E.\",\"Surdeanu, M.\"],\"key\":\"kwak-etal-2022-legalnli\",\"id\":\"kwak-etal-2022-legalnli\",\"bibbaseid\":\"kwak-israelsen-morrison-bambauer-surdeanu-validityassessmentoflegalwillstatementsasnaturallanguageinference-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/kwak2022.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":5,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Bootstrapping Neural Relation and Explanation Classifiers\",\"author\":[{\"firstnames\":[\"Zheng\"],\"propositions\":[],\"lastnames\":[\"Tang\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)\",\"month\":\"July\",\"year\":\"2023\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2023.acl-short.5.pdf\",\"bibtex\":\"@inproceedings{acl2023-bootstrapping-zheng,\\n    title = \\\"Bootstrapping Neural Relation and Explanation Classifiers\\\",\\n    author = \\\"Zheng Tang  and\\n      Surdeanu, Mihai\\\",\\n    booktitle = \\\"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)\\\",\\n    month = jul,\\n    year = \\\"2023\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2023.acl-short.5.pdf\\\",\\n}\\n\",\"author_short\":[\"Tang, Z.\",\"Surdeanu, M.\"],\"key\":\"acl2023-bootstrapping-zheng\",\"id\":\"acl2023-bootstrapping-zheng\",\"bibbaseid\":\"tang-surdeanu-bootstrappingneuralrelationandexplanationclassifiers-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2023.acl-short.5.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":10,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Alexeeva\"],\"firstnames\":[\"Maria\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sharp\"],\"firstnames\":[\"Rebecca\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Valenzuela-Escárcega\"],\"firstnames\":[\"Marco\",\"A.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kadowaki\"],\"firstnames\":[\"Jennifer\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pyarelal\"],\"firstnames\":[\"Adarsh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Morrison\"],\"firstnames\":[\"Clayton\"],\"suffixes\":[]}],\"booktitle\":\"Proceedings of the Twelfth Language Resources and Evaluation Conference\",\"month\":\"May\",\"year\":\"2020\",\"address\":\"Marseille, France\",\"publisher\":\"European Language Resources Association\",\"url\":\"https://aclanthology.org/2020.lrec-1.269\",\"pages\":\"2204–2212\",\"abstract\":\"Extending machine reading approaches to extract mathematical concepts and their descriptions is useful for a variety of tasks, ranging from mathematical information retrieval to increasing accessibility of scientific documents for the visually impaired. This entails segmenting mathematical formulae into identifiers and linking them to their natural language descriptions. We propose a rule-based approach for this task, which extracts LaTeX representations of formula identifiers and links them to their in-text descriptions, given only the original PDF and the location of the formula of interest. We also present a novel evaluation dataset for this task, as well as the tool used to create it.\",\"language\":\"English\",\"isbn\":\"979-10-95546-34-4\",\"bibtex\":\"@inproceedings{alexeeva-etal-2020-mathalign,\\n    title = \\\"{M}ath{A}lign: Linking Formula Identifiers to their Contextual Natural Language Descriptions\\\",\\n    author = \\\"Alexeeva, Maria  and\\n      Sharp, Rebecca  and\\n      Valenzuela-Esc{\\\\'a}rcega, Marco A.  and\\n      Kadowaki, Jennifer  and\\n      Pyarelal, Adarsh  and\\n      Morrison, Clayton\\\",\\n    booktitle = \\\"Proceedings of the Twelfth Language Resources and Evaluation Conference\\\",\\n    month = may,\\n    year = \\\"2020\\\",\\n    address = \\\"Marseille, France\\\",\\n    publisher = \\\"European Language Resources Association\\\",\\n    url = \\\"https://aclanthology.org/2020.lrec-1.269\\\",\\n    pages = \\\"2204--2212\\\",\\n    abstract = \\\"Extending machine reading approaches to extract mathematical concepts and their descriptions is useful for a variety of tasks, ranging from mathematical information retrieval to increasing accessibility of scientific documents for the visually impaired. This entails segmenting mathematical formulae into identifiers and linking them to their natural language descriptions. We propose a rule-based approach for this task, which extracts LaTeX representations of formula identifiers and links them to their in-text descriptions, given only the original PDF and the location of the formula of interest. We also present a novel evaluation dataset for this task, as well as the tool used to create it.\\\",\\n    language = \\\"English\\\",\\n    ISBN = \\\"979-10-95546-34-4\\\",\\n}\\n\",\"author_short\":[\"Alexeeva, M.\",\"Sharp, R.\",\"Valenzuela-Escárcega, M. A.\",\"Kadowaki, J.\",\"Pyarelal, A.\",\"Morrison, C.\"],\"key\":\"alexeeva-etal-2020-mathalign\",\"id\":\"alexeeva-etal-2020-mathalign\",\"bibbaseid\":\"alexeeva-sharp-valenzuelaescrcega-kadowaki-pyarelal-morrison-mathalignlinkingformulaidentifierstotheircontextualnaturallanguagedescriptions-2020\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2020.lrec-1.269\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Annotating and Training for Population Subjective Views\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Alexeeva\"],\"firstnames\":[\"Maria\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hyland\"],\"firstnames\":[\"Caroline\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Alcock\"],\"firstnames\":[\"Keith\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Beal\",\"Cohen\"],\"firstnames\":[\"Allegra\",\"A.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kanyamahanga\"],\"firstnames\":[\"Hubert\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Anni\"],\"firstnames\":[\"Isaac\",\"Kobby\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"booktitle\":\"13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis\",\"year\":\"2023\",\"url\":\"http://clulab.org/papers/wassa2023-beliefs.pdf\",\"bibtex\":\"@inproceedings{\\n    alexeeva-et-al-2023-annotating,\\n    title={Annotating and Training for Population Subjective Views},\\n    author={Alexeeva, Maria and Hyland, Caroline and Alcock, Keith and Beal Cohen,  Allegra A. and Kanyamahanga, Hubert and Anni, Isaac Kobby and Surdeanu, Mihai},\\n    booktitle={13th Workshop on Computational Approaches to Subjectivity, Sentiment {\\\\&} Social Media Analysis},\\n    year={2023},\\n    url={http://clulab.org/papers/wassa2023-beliefs.pdf}\\n}\\n\",\"author_short\":[\"Alexeeva, M.\",\"Hyland, C.\",\"Alcock, K.\",\"Beal Cohen, A. A.\",\"Kanyamahanga, H.\",\"Anni, I. K.\",\"Surdeanu, M.\"],\"key\":\"alexeeva-et-al-2023-annotating\",\"id\":\"alexeeva-et-al-2023-annotating\",\"bibbaseid\":\"alexeeva-hyland-alcock-bealcohen-kanyamahanga-anni-surdeanu-annotatingandtrainingforpopulationsubjectiveviews-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://clulab.org/papers/wassa2023-beliefs.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"misc\",\"type\":\"misc\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Alexeeva\"],\"firstnames\":[\"Maria\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Joshi\"],\"firstnames\":[\"Vijaya\",\"R\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kanyamahanga\"],\"firstnames\":[\"Hubert\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Anni\"],\"firstnames\":[\"Isaac\",\"Kobby\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Alcock\"],\"firstnames\":[\"Keith\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hoogenboom\"],\"firstnames\":[\"Gerrit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Surdeanu\"],\"firstnames\":[\"Mihai\"],\"suffixes\":[]}],\"title\":\"Extracting Crop Model Parameters from Literature Using Natural Language Processing\",\"howpublished\":\"Presented at AI in Agriculture: Innovation and Discovery to Equitably Meet Producer Needs and Perceptions Conference, Orlando, Florida\",\"url_poster\":\"http://clulab.org/papers/ai-in-agro-poster.pdf\",\"url_abstract\":\"http://clulab.org/papers/ai-in-agriculture2023-submitted-abstract.pdf\",\"key\":\"alexeeva-et-al-2023-extracting-crop\",\"id\":\"alexeeva-et-al-2023-extracting-crop\",\"bibbaseid\":\"anonymous-extractingcropmodelparametersfromliteratureusingnaturallanguageprocessing\",\"role\":\"author\",\"urls\":{\" poster\":\"http://clulab.org/papers/ai-in-agro-poster.pdf\",\" abstract\":\"http://clulab.org/papers/ai-in-agriculture2023-submitted-abstract.pdf\"},\"metadata\":{\"authorlinks\":{}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"Metadata Enhancement Using Large Language 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of the Fourth Workshop on Scholarly Document Processing (SDP 2024)\",\"month\":\"August\",\"year\":\"2024\",\"address\":\"Bangkok, Thailand\",\"publisher\":\"Association for Computational Linguistics\",\"url\":\"https://aclanthology.org/2024.sdp-1.14\",\"pages\":\"145–154\",\"keywords\":\"workshop paper, term normalization\",\"bibtex\":\"@inproceedings{song-etal-2024-metadata,\\n    title = \\\"Metadata Enhancement Using Large Language Models\\\",\\n    author = \\\"Song, Hyunju  and\\n      Bethard, Steven  and\\n      Thomer, Andrea\\\",\\n    editor = \\\"Ghosal, Tirthankar  and\\n      Singh, Amanpreet  and\\n      Waard, Anita  and\\n      Mayr, Philipp  and\\n      Naik, Aakanksha  and\\n      Weller, Orion  and\\n      Lee, Yoonjoo  and\\n      Shen, Shannon  and\\n      Qin, Yanxia\\\",\\n    booktitle = \\\"Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024)\\\",\\n    month = aug,\\n    year = \\\"2024\\\",\\n    address = \\\"Bangkok, Thailand\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2024.sdp-1.14\\\",\\n    pages = \\\"145--154\\\",\\n    keywords = {workshop paper, term normalization},\\n}\\n\",\"author_short\":[\"Song, H.\",\"Bethard, S.\",\"Thomer, A.\"],\"editor_short\":[\"Ghosal, T.\",\"Singh, A.\",\"Waard, A.\",\"Mayr, P.\",\"Naik, A.\",\"Weller, O.\",\"Lee, Y.\",\"Shen, S.\",\"Qin, Y.\"],\"key\":\"song-etal-2024-metadata\",\"id\":\"song-etal-2024-metadata\",\"bibbaseid\":\"song-bethard-thomer-metadataenhancementusinglargelanguagemodels-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://aclanthology.org/2024.sdp-1.14\"},\"keyword\":[\"workshop paper\",\"term normalization\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":2,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"title\":\"hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation 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Seza  and\\n      Tayyar Madabushi, Harish  and\\n      Da San Martino, Giovanni  and\\n      Rosenthal, Sara  and\\n      Ros{\\\\'a}, Aiala},\\n    booktitle = \\\"Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)\\\",\\n    month = jun,\\n    year = \\\"2024\\\",\\n    address = \\\"Mexico City, Mexico\\\",\\n    publisher = \\\"Association for Computational Linguistics\\\",\\n    url = \\\"https://aclanthology.org/2024.semeval-1.6\\\",\\n    doi = \\\"10.18653/v1/2024.semeval-1.6\\\",\\n    pages = \\\"34--39\\\",\\n    keywords = {shared task paper},\\n}\\n\",\"author_short\":[\"Crum, H.\",\"Bethard, S.\"],\"editor_short\":[\"Ojha, A. K.\",\"Doğruöz, A. 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author={Ligaj Pradhan and Chengcui Zhang and Steven Bethard and Xin Chen},
booktitle={2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)},
title={Embedding User Behavioral Aspect in TF-IDF Like Representation},
year={2018},
volume={},
number={},
pages={262-267},
keywords={information retrieval, recommender systems},
url={http://doi.org/10.1109/MIPR.2018.00061},
ISSN={},
month={4},
note = {[Acceptance rate 20\%]},
}


@inproceedings{rezaei-blanco-2024-paraphrasing,
  author    = {Rezaei, MohammadHossein  and  Blanco, Eduardo},
  title     = {Making Language Models Robust Against Negation},
  booktitle      = {Proceedings of the 2025 Conference of the Nations of America Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month          = {April},
  year           = {2025},
  address        = {Albuquerque, New Mexico, USA},
  publisher      = {Association for Computational Linguistics},
  pages     = {},
  abstract  = {Negation has been a long-standing challenge for language models. Previous studies have shown that they struggle with negation in many natural language understanding tasks. In this work, we propose a self-supervised method to make language models more robust against negation. We introduce a novel task, Next Sentence Polarity Prediction (NSPP), and a variation of the Next Sentence Prediction (NSP) task. We show that RoBERTa and BERT further pre-trained on our tasks outperform the off-the-shelf transformer models on eight negation-related benchmarks. Most notably, the pretrainings yield between 1.8% and 9.1% improvement on CondaQA, a large question-answering corpus requiring reasoning over negation.},
  url       = {https://arxiv.org/pdf/2502.07717}
}



@inproceedings{negru-et-al-naacl2025-morphnli,
    title = "MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing",
    author = "Vlad Negru and Robert Vacareanu and Camelia Lemnaru and Mihai Surdeanu and Rodica Potolea",
    booktitle = "Findings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)",
    year = "2025",
    url = "https://arxiv.org/abs/2502.09567",
    abstract = "We introduce MorphNLI, a modular step-by-step approach to natural language inference (NLI). When classifying the premise-hypothesis pairs into {entailment, contradiction, neutral}, we use a language model to generate the necessary edits to incrementally transform (i.e., morph) the premise into the hypothesis. Then, using an off-the-shelf NLI model we track how the entailment progresses with these atomic changes, aggregating these intermediate labels into a final output. We demonstrate the advantages of our proposed method particularly in realistic cross-domain settings, where our method always outperforms strong baselines with improvements up to 12.6% (relative). Further, our proposed approach is explainable as the atomic edits can be used to understand the overall NLI label.",
}



@inproceedings{noriega-atala-etal-2024-happen,
    title = "When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context",
    author = "Noriega-Atala, Enrique  and
      Vacareanu, Robert  and
      Ashton, Salena Torres  and
      Pyarelal, Adarsh  and
      Morrison, Clayton T  and
      Surdeanu, Mihai",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.findings-emnlp.219/",
    doi = "10.18653/v1/2024.findings-emnlp.219",
    pages = "3821--3829",
    abstract = "We introduce a neural architecture finetuned for the task of scenario context generation: The relevant location and time of an event or entity mentioned in text. Contextualizing information extraction helps to scope the validity of automated finings when aggregating them as knowledge graphs. Our approach uses a high-quality curated dataset of time and location annotations in a corpus of epidemiology papers to train an encoder-decoder architecture. We also explored the use of data augmentation techniques during training. Our findings suggest that a relatively small fine-tuned encoder-decoder model performs better than out-of-the-box LLMs and semantic role labeling parsers to accurate predict the relevant scenario information of a particular entity or event."
}



@misc{cooper2024findingwolfsheepsclothing,
      title={Finding a Wolf in Sheep's Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization}, 
      author={Portia Cooper and Harshita Narnoli and Mihai Surdeanu},
      year={2024},
      eprint={2412.12212},
      archivePrefix={arXiv},
      primaryClass={cs.CR},
      url={https://arxiv.org/abs/2412.12212}, 
}



@inproceedings{kwak-et-al-nllp2024-error-analysis,
    title = "Classify First, and Then Extract: Prompt Chaining Technique for Information Extraction",
    author = "Alice Kwak and Clayton Morrison and Derek Bambauer and Mihai Surdeanu",
    booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2024",
    month = nov,
    year = "2024",
    url = "https://clulab.org/papers/nllp2024_kwak-et-al.pdf",
    abstract = "This work presents a new task-aware prompt design and example retrieval approach for information extraction (IE) using a prompt chaining technique. Our approach divides IE tasks into two steps: (1) text classification to understand what information (e.g., entity or event types) is contained in the underlying text and (2) information extraction for the identified types. Initially, we use a large language model (LLM) in a few-shot setting to classify the contained information. The classification output is used to select the relevant prompt and retrieve the examples relevant to the input text. Finally, we ask a LLM to do the information extraction with the generated prompt. By evaluating our approach on legal IE tasks with two different LLMs, we demonstrate that the prompt chaining technique improves the LLM’s overall performance in a few-shot setting when compared to the baseline in which examples from all possible classes are included in the prompt. Our approach can be used in a low-resource setting as it does not require a large amount of training data. Also, it can be easily adapted to many different IE tasks by simply adjusting the prompts. Lastly, it provides a cost benefit by reducing the number of tokens in the prompt.",
}



@inproceedings{singh-2024-learning,
    title = "Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach",
    author = "Singh, Mayank and Blanco, Eduardo",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
    month = nov,
    year = "2024",
    address = "Miami, USA and virtual meeting",
    publisher = "Association for Computational Linguistics",
    abstract = "We propose a neuro-symbolic approach for realistic few-shot relation classification via rules. Instead of building neural models to predict relations, we design them to output straightforward rules that can be used to extract relations. The rules are generated using custom T5-style Encoder-Decoder Language Models. Crucially, our rules are fully interpretable and pliable (i.e., humans can easily modify them to boost performance). Through a combination of rules generated by these models along with a very effective, novel baseline, we demonstrate a few-shot relation-classification performance that is comparable to or stronger than the state of the art on the Few-Shot TACRED and NYT29 benchmarks while increasing interpretability and maintaining pliability.",
}



@inproceedings{rezaei-blanco-2024-paraphrasing,
    title = "Paraphrasing in Affirmative Terms Improves Negation Understanding",
    author = "Rezaei, MohammadHossein  and
      Blanco, Eduardo",
    editor = "Ku, Lun-Wei  and
      Martins, Andre  and
      Srikumar, Vivek",
    booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.acl-short.55/",
    doi = "10.18653/v1/2024.acl-short.55",
    pages = "602--615",
    abstract = "Negation is a common linguistic phenomenon. Yet language models face challenges with negation in many natural language understanding tasks such as question answering and natural language inference. In this paper, we experiment with seamless strategies that incorporate affirmative interpretations (i.e., paraphrases without negation) to make models more robust against negation. Crucially, our affirmative interpretations are obtained automatically. We show improvements with CondaQA, a large corpus requiring reasoning with negation, and five natural language understanding tasks."
}



@inproceedings{sanayei-etal-2024-maria,
    title = "{MAR}i{A} at {S}em{E}val 2024 Task-6: Hallucination Detection Through {LLM}s, {MNLI}, and Cosine similarity",
    author = "Sanayei, Reza  and
      Singh, Abhyuday  and
      Rezaei, Mohammadhossein  and
      Bethard, Steven",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Tayyar Madabushi, Harish  and
      Da San Martino, Giovanni  and
      Rosenthal, Sara  and
      Ros{\'a}, Aiala},
    booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.semeval-1.225",
    pages = "1584--1588",
    abstract = "The advent of large language models (LLMs) has revolutionized Natural Language Generation (NLG), offering unmatched text generation capabilities. However, this progress introduces significant challenges, notably hallucinations{---}semantically incorrect yet fluent outputs. This phenomenon undermines content reliability, as traditional detection systems focus more on fluency than accuracy, posing a risk of misinformation spread.Our study addresses these issues by proposing a unified strategy for detecting hallucinations in neural model-generated text, focusing on the SHROOM task in SemEval 2024. We employ diverse methodologies to identify output divergence from the source content. We utilized Sentence Transformers to measure cosine similarity between source-hypothesis and source-target embeddings, experimented with omitting source content in the cosine similarity computations, and Leveragied LLMs{'} In-Context Learning with detailed task prompts as our methodologies. The varying performance of our different approaches across the subtasks underscores the complexity of Natural Language Understanding tasks, highlighting the importance of addressing the nuances of semantic correctness in the era of advanced language models.",
}



@inproceedings{rezaei-etal-2024-clulab,
    title = "{CLUL}ab-{U}of{A} at {S}em{E}val-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification",
    author = "Rezaei, Mohammadhossein  and
      Kwon, Yeaeun  and
      Sanayei, Reza  and
      Singh, Abhyuday  and
      Bethard, Steven",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Tayyar Madabushi, Harish  and
      Da San Martino, Giovanni  and
      Rosenthal, Sara  and
      Ros{\'a}, Aiala},
    booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.semeval-1.215",
    pages = "1498--1504",
    abstract = "Detecting machine-generated text is a critical task in the era of large language models. In this paper, we present our systems for SemEval-2024 Task 8, which focuses on multi-class classification to discern between human-written and maching-generated texts by five state-of-the-art large language models. We propose three different systems: unsupervised text similarity, triplet-loss-trained text similarity, and text classification. We show that the triplet-loss trained text similarity system outperforms the other systems, achieving 80{\%} accuracy on the test set and surpassing the baseline model for this subtask. Additionally, our text classification system, which takes into account sentence paraphrases generated by the candidate models, also outperforms the unsupervised text similarity system, achieving 74{\%} accuracy.",
}



@inproceedings{
  dumitru2024retrieval,
  title={Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios},
  author={Dumitru, Razvan-Gabriel and Alexeeva, Maria and Alcock, Keith and Ludgate, Nargiza and Jeong, Cheonkam and Abdurahaman, Zara Fatima and Puri, Prateek and Kirchhoff, Brian and Sadhu, Santadarshan and Surdeanu, Mihai},
  booktitle={Sixth Workshop on  NLP and Computational Social Science (at NAACL) 2024},
  year={2024},
  url={http://clulab.org/papers/naacl-css2024-rag.pdf}
}



@article{Vacareanu2024GeneralVerificationLLM,
  title={General Purpose Verification for Chain of Thought Prompting},
  author={Robert Vacareanu and Anurag Pratik and Evangelia Spiliopoulou and Zheng Qi and Giovanni Paolini and Neha Anna John and Jie Ma and Yassine Benajiba and Miguel Ballesteros},
  journal={ArXiv},
  year={2024},
  volume={abs/2405.00204},
  url={https://arxiv.org/pdf/2405.00204.pdf}
}



@article{Vacareanu2024LLMsRegression,
  title={From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples},
  author={Robert Vacareanu and Vlad-Andrei Negru and Vasile Suciu and Mihai Surdeanu},
  journal={ArXiv},
  year={2024},
  volume={abs/2404.07544},
  url={https://arxiv.org/pdf/2404.07544.pdf}
}



@inproceedings{vacareanu2024softrules,
    title = "Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification",
    author = "Robert Vacareanu and Fahmida Alam and Md Asiful Islam and Haris Riaz and Mihai Surdeanu",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2024",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/pdf/2403.03305.pdf",
    abstract = "This paper introduces a novel neuro-symbolic architecture for relation classification (RC) that combines rule-based methods with contemporary deep learning techniques. This approach capitalizes on the strengths of both paradigms: the adaptability of rule-based systems and the generalization power of neural networks. Our architecture consists of two components: a declarative rule-based model for transparent classification and a neural component to enhance rule generalizability through semantic text matching. Notably, our semantic matcher is trained in an unsupervised domain-agnostic way, solely with synthetic data. Further, these components are loosely coupled, allowing for rule modifications without retraining the semantic matcher. In our evaluation, we focused on two few-shot relation classification datasets: Few-Shot TACRED and a Few-Shot version of NYT29. We show that our proposed method outperforms previous state-of-the-art models in three out of four settings, despite not seeing any human-annotated training data. Further, we show that our approach remains modular and pliable, i.e., the corresponding rules can be locally modified to improve the overall model. Human interventions to the rules for the TACRED relation \texttt{org:parents} boost the performance on that relation by as much as 26\% relative improvement, without negatively impacting the other relations, and without retraining the semantic matching component.",
}



@inproceedings{vacareanu2024ActiveLearningNER,
    title = "Active Learning Design Choices for NER with Transformers",
    author = "Robert Vacareanu and Enrique Noriega-Atala and Gus Hahn-Powell and Marco A. Valenzuela-Escarcega and Mihai Surdeanu ",
    booktitle = "Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation",
    month = may,
    year = "2024",
    address = "Torino, Italy",
    publisher = "European Language Resources Association",
    abstract = "We explore multiple important choices that have not been analyzed in conjunction regarding active learning for token classification using transformer networks. These choices are: (i) how to select what to annotate, (ii) decide whether to annotate entire sentences or smaller sentence fragments, (iii) how to train with incomplete annotations at token-level, and (iv) how to select the initial seed dataset. We explore whether annotating at sub-sentence level can translate to an improved downstream performance by considering two different sub-sentence annotation strategies: (i) entity-level, and (ii) token-level. These approaches result in some sentences being only partially annotated. To address this issue, we introduce and evaluate multiple strategies to deal with partially-annotated sentences during the training process. We show that annotating at the sub-sentence level achieves comparable or better performance than sentence-level annotations with a smaller number of annotated tokens. We then explore the extent to which the performance gap remains once accounting for the annotation time and found that both annotation schemes perform similarly.",
}



@inproceedings{vacareanu-etal-2024-weak,
    title = "A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis",
    author = "Vacareanu, Robert  and
      Varia, Siddharth  and
      Halder, Kishaloy  and
      Wang, Shuai  and
      Paolini, Giovanni  and
      Anna John, Neha  and
      Ballesteros, Miguel  and
      Muresan, Smaranda",
    editor = "Graham, Yvette  and
      Purver, Matthew",
    booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = mar,
    year = "2024",
    address = "St. Julian{'}s, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.eacl-long.167",
    pages = "2734--2752",
    abstract = "We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks. We propose a pipeline approach to construct a noisy ABSA dataset, and we use it to adapt a pre-trained sequence-to-sequence model to the ABSA tasks. We test the resulting model on three widely used ABSA datasets, before and after fine-tuning. Our proposed method preserves the full fine-tuning performance while showing significant improvements (15.84 absolute F1) in the few-shot learning scenario for the harder tasks. In zero-shot (i.e., without fine-tuning), our method outperforms the previous state of the art on the aspect extraction sentiment classification (AESC) task and is, additionally, capable of performing the harder aspect sentiment triplet extraction (ASTE) task.",
}



@inproceedings{wang2024naaclfindings,
    title = "Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains",
    author = "Wang, Zijie and Rashid, Farzana and Blanco, Eduardo",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2024",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics"
}



@inproceedings{golchin2024time,
	title={Time Travel in {LLM}s: Tracing Data Contamination in Large Language Models},
	author={Shahriar Golchin and Mihai Surdeanu},
	booktitle={Proceedings of the Twelfth International Conference on Learning Representations (ICLR)},
	year={2024},
	url={https://openreview.net/forum?id=2Rwq6c3tvr}
}



@inproceedings{fahmida2024fs-meta-dataset,
    title = "Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation",
    author = "Fahmida Alam and Md Asiful Islam and Robert Vacareanu and Mihai Surdeanu ",
    booktitle = "Proceedings of the Fourteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2024",
    address = "Torino, Italy",
    publisher = "European Language Resources Association",
    url = "http://arxiv.org/abs/2404.04445",
    abstract = "We introduce a meta dataset for few-shot relation extraction, which includes two datasets derived from existing supervised relation extraction datasets – NYT29 (Takanobu et al. , 2019 ; Nayak and Ng , 2020) and WIKIDATA (Sorokin and Gurevych, 2017) – as well as a few-shot form of the TACRED dataset (Sabo et al., 2021). Importantly, all these few-shot datasets were generated under realistic assumptions such as: the test relations are different from any relations a model might have seen before, limited training data, and a preponderance of candidate relation mentions that do not correspond to any of the relations of interest. Using this large resource, we conduct a comprehensive evaluation of six recent few-shot relation extraction methods, and observe that no method comes out as a clear winner. Further, the overall performance on this task is low, indicating substantial need for future research. We release all versions of the data, i.e., both supervised and few-shot, for future research."
}



@inproceedings{riaz2024ellen,
    title = "ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition",
    author = "Haris Riaz and Razvan-Gabriel Dumitru and Mihai Surdeanu",
    booktitle = "Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation",
    month = may,
    year = "2024",
    address = "Torino, Italy",
    publisher = "European Language Resources Association",
    url = "https://arxiv.org/pdf/2403.17385.pdf",
    abstract = "In this work, we revisit the problem of semi-supervised named entity recognition (NER) focusing on extremely light supervision, consisting of a lexicon containing only 10 examples per class. We introduce ELLEN, a simple, fully modular, neuro-symbolic method that blends fine-tuned language models with linguistic rules. These rules include insights such as ''One Sense Per Discourse'', using a Masked Language Model as an unsupervised NER, leveraging part-of-speech tags to identify and eliminate unlabeled entities as false negatives, and other intuitions about classifier confidence scores in local and global context. ELLEN achieves very strong performance on the CoNLL-2003 dataset when using the minimal supervision from the lexicon above. It also outperforms most existing (and considerably more complex) semi-supervised NER methods under the same supervision settings commonly used in the literature (i.e., 5% of the training data). Further, we evaluate our CoNLL-2003 model in a zero-shot scenario on WNUT-17 where we find that it outperforms GPT-3.5 and achieves comparable performance to GPT-4. In a zero-shot setting, ELLEN also achieves over 75% of the performance of a strong, fully supervised model trained on gold data. Our code is available at: https://github.com/hriaz17/ELLEN",
}



@inproceedings{anaissy-icaart2024,
    title = "On Learning Bipolar Gradual Argumentation Semantics with Neural Networks",
    author = "Caren Al Anaissy and Sandeep Suntwal and Mihai Surdeanu and Srdjan Vesic",
    booktitle = "Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART)",
    year = "2024",
    url = "https://clulab.org/papers/icaart2024.pdf",
    abstract = "Computational argumentation has evolved as a key area in artificial intelligence, used to analyze aspects of thinking, making decisions, and conversing. As a result, it is currently employed in a variety of real-world contexts, from legal reasoning to intelligence analysis. An argumentation framework is modelled as a graph where the nodes represent arguments and the edges of the graph represent relations (i.e., supports, attacks) between nodes. In this work, we investigate the ability of neural network methods to learn a gradual bipolar argumentation semantics, which allows for both supports and attacks. We begin by calculating the acceptability degrees for graph nodes. These scores are generated using Quantitative Argumentation Debate (QuAD) argumentation semantics. We apply this approach to two benchmark datasets: Twelve Angry Men and Debate- pedia. Using this data, we train and evaluate the performance of three benchmark architectures: Multilayer Perceptron (MLP), Graph Convolution Network (GCN), and Graph Attention Network (GAT) to learn the acceptability degree scores produced by the QuAD semantics. Our results show that these neural network methods can learn bipolar gradual argumentation semantics. The models trained on GCN architecture perform better than the other two architectures underscoring the importance of modelling argumentation graphs explicitly."
}



@inproceedings{
    pyarelal2023the,
    title={The To{MCAT} Dataset},
    author={Adarsh Pyarelal and Eric Duong and Caleb Jones Shibu and Paulo Soares and Savannah Boyd and Payal Khosla and Valeria Pfeifer and Diheng Zhang and Eric S Andrews and Rick Champlin and Vincent Paul Raymond and Meghavarshini Krishnaswamy and Clayton Morrison and Emily Butler and Kobus Barnard},
    booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    year={2023},
    url={https://openreview.net/forum?id=ZJWQfgXQb6}
}



@inproceedings{qamar-etal-2023-speaking,
    title = "Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification",
    author = "Qamar, Ayesha  and
      Pyarelal, Adarsh  and
      Huang, Ruihong",
    editor = "Bouamor, Houda  and
      Pino, Juan  and
      Bali, Kalika",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-emnlp.678",
    pages = "10122--10135",
    abstract = "Utterances do not occur in isolation in dialogues; it is essential to have the information of who the speaker of an utterance is to be able to recover the speaker{'}s intention with respect to the surrounding context. Beyond simply capturing speaker switches, identifying how speakers interact with each other in a dialogue is crucial to understanding conversational flow. This becomes increasingly important and simultaneously difficult to model when more than two interlocutors take part in a conversation. To overcome this challenge, we propose to explicitly add speaker awareness to each utterance representation. To that end, we use a graph neural network to model how each speaker is behaving within the local context of a conversation. The speaker representations learned this way are then used to update their respective utterance representations. We experiment with both multiparticipant and dyadic conversations on the MRDA and SwDA datasets and show the effectiveness of our approach.",
}



@inproceedings{miah-etal-2023-hierarchical,
    title = "Hierarchical Fusion for Online Multimodal Dialog Act Classification",
    author = "Miah, Md Messal Monem  and
      Pyarelal, Adarsh  and
      Huang, Ruihong",
    editor = "Bouamor, Houda  and
      Pino, Juan  and
      Bali, Kalika",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-emnlp.505",
    pages = "7532--7545",
    abstract = "We propose a framework for online multimodal dialog act (DA) classification based on raw audio and ASR-generated transcriptions of current and past utterances. Existing multimodal DA classification approaches are limited by ineffective audio modeling and late-stage fusion. We showcase significant improvements in multimodal DA classification by integrating modalities at a more granular level and incorporating recent advancements in large language and audio models for audio feature extraction. We further investigate the effectiveness of self-attention and cross-attention mechanisms in modeling utterances and dialogs for DA classification. We achieve a substantial increase of 3 percentage points in the F1 score relative to current state-of-the-art models on two prominent DA classification datasets, MRDA and EMOTyDA.",
}



@inproceedings{cooper-etal-2023-hiding,
    title = "Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs",
    author = "Cooper, Portia  and
      Surdeanu, Mihai  and
      Blanco, Eduardo",
    editor = "Bouamor, Houda  and
      Pino, Juan  and
      Bali, Kalika",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-emnlp.192",
    doi = "10.18653/v1/2023.findings-emnlp.192",
    pages = "2922--2929",
    abstract = "To avoid detection by current NLP monitoring applications, progenitors of hate speech often replace one or more letters in offensive words with homoglyphs, visually similar Unicode characters. Harvesting real-world hate speech containing homoglyphs is challenging due to the vast replacement possibilities. We developed a character substitution scraping method and assembled the Offensive Tweets with Homoglyphs (OTH) Dataset (N=90,788) with more than 1.5 million occurrences of 1,281 non-Latin characters (emojis excluded). In an annotated sample (n=700), 40.14{\%} of the tweets were found to contain hate speech. We assessed the performance of seven transformer-based hate speech detection models and found that they performed poorly in a zero-shot setting (F1 scores between 0.04 and 0.52) but normalizing the data dramatically improved detection (F1 scores between 0.59 and 0.71). Training the models using the annotated data further boosted performance (highest micro-averaged F1 score=0.88, using five-fold cross validation). This study indicates that a dataset containing homoglyphs known and unknown to the scraping script can be collected, and that neural models can be trained to recognize camouflaged real-world hate speech.",
}



@inproceedings{kwak-et-al-nllp2023-error-analysis,
    title = "Transferring Legal Natural Language Inference Model from a US State to Another: What Makes It So Hard?",
    author = "Alice Kwak and Gaetano Forte and Derek Bambauer and Mihai Surdeanu",
    booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2023",
    month = dec,
    year = "2023",
    url = "https://clulab.org/papers/nllp2023_kwak-et-al.pdf",
    abstract = "This study investigates whether a legal natural language inference (NLI) model trained on the data from one US state can be transferred to another state. We fine-tuned a pre-trained model on the task of evaluating the validity of legal will statements, once with the dataset containing the Tennessee wills and once with the dataset containing the Idaho wills. Each model’s performance on the in-domain setting and the out-of-domain setting are compared to see if the models can across the states. We found that the model trained on one US state can be mostly transferred to another state. However, it is clear that the model’s performance drops in the out-of-domain setting. The F1 scores of the Tennessee model and the Idaho model are 96.41 and 92.03 when predicting the data from the same state, but they drop to 66.32 and 81.60 when predicting the data from another state. Subsequent error analysis revealed that there are two major sources of errors. First, the model fails to recognize equivalent laws across states when there are stylistic differences between laws. Second, difference in statutory section numbering system between the states makes it difficult for the model to locate laws relevant to the cases being predicted on. This analysis provides insights on how the future NLI system can be improved. Also, our findings offer empirical support to legal experts advocating the standardization of legal documents.",
}



@inproceedings{kwak-et-al-emnlp2023-ie4wills,
    title = "Information Extraction from Legal Wills: How Well Does GPT-4 Do?",
    author = "Alice Kwak and Cheonkam Jeong and Gaetano Forte and Derek Bambauer and Clayton Morrison and Mihai Surdeanu",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
    month = dec,
    year = "2023",
    url = "https://clulab.org/papers/emnlp2023_kwak-et-al.pdf",
    abstract = "This work presents a manually annotated dataset for Information Extraction (IE) from legal wills, and relevant in-context learning experiments on the dataset. The dataset consists of entities, binary relations between the entities (e.g., relations between testator and beneficiary), and n-ary events (e.g., bequest) extracted from 45 legal wills from two US states. This dataset can serve as a foundation for downstream tasks in the legal domain. Another use case of this dataset is evaluating the performance of large language models (LLMs) on this IE task. We evaluated GPT-4 with our dataset to investigate its ability to extract information from legal wills. Our evaluation result demonstrates that the model is capable of handling the task reasonably well. When given instructions and examples as a prompt, GPT-4 shows decent performance for both entity extraction and relation extraction tasks. Nevertheless, the evaluation result also reveals that the model is not perfect. We observed inconsistent outputs (given a prompt) as well as prompt over-generalization.",
}



@inproceedings{rahimi-surdeanu-2023-improving,
    title = "Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates",
    author = "Rahimi, Mahdi  and
      Surdeanu, Mihai",
    booktitle = "Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.repl4nlp-1.16",
    pages = "187--195",
    abstract = "While fully supervised relation classification (RC) models perform well on large-scale datasets, their performance drops drastically in low-resource settings. As generating annotated examples are expensive, recent zero-shot methods have been proposed that reformulate RC into other NLP tasks for which supervision exists such as textual entailment. However, these methods rely on templates that are manually created which is costly and requires domain expertise. In this paper, we present a novel strategy for template generation for relation classification, which is based on adapting Harris{'} distributional similarity principle to templates encoded using contextualized representations. Further, we perform empirical evaluation of different strategies for combining the automatically acquired templates with manual templates. The experimental results on TACRED show that our approach not only performs better than the zero-shot RC methods that only use manual templates, but also that it achieves state-of-the-art performance for zero-shot TACRED at 64.3 F1 score.",
}



@inproceedings{george-surdeanu-2023-sexually,
    title = "It{'}s not Sexually Suggestive; It{'}s Educative | Separating Sex Education from Suggestive Content on {T}ik{T}ok Videos",
    author = "George, Enfa  and
      Surdeanu, Mihai",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-acl.365",
    pages = "5904--5915",
    abstract = "We introduce SexTok, a multi-modal dataset composed of TikTok videos labeled as sexually suggestive (from the annotator{'}s point of view), sex-educational content, or neither. Such a dataset is necessary to address the challenge of distinguishing between sexually suggestive content and virtual sex education videos on TikTok. Children{'}s exposure to sexually suggestive videos has been shown to have adversarial effects on their development (Collins et al. 2017). Meanwhile, virtual sex education, especially on subjects that are more relevant to the LGBTQIA+ community, is very valuable (Mitchell et al. 2014). The platform{'}s current system removes/punishes some of both types of videos, even though they serve different purposes. Our dataset contains video URLs, and it is also audio transcribed. To validate its importance, we explore two transformer-based models for classifying the videos. Our preliminary results suggest that the task of distinguishing between these types of videos is learnable but challenging. These experiments suggest that this dataset is meaningful and invites further study on the subject.",
}



@inproceedings{Vacareanu2022PatternRankJR,
    title = {PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms},
    author = {Robert Vacareanu and Dane Bell and Mihai Surdeanu},
    booktitle = {PANDL},
    abstract="{In this paper we revisit the direction of using lexico-syntactic patterns for relation extraction instead of today's ubiquitous neural classifiers. We propose a semi-supervised graph-based algorithm for pattern acquisition that scores patterns and the relations they extract jointly, using a variant of PageRank. We insert light supervision in the form of seed patterns or relations, and model it with several custom teleportation probabilities that bias random-walk scores of patterns/relations based on their proximity to correct information. We evaluate our approach on Few-Shot TACRED, and show that our method outperforms (or performs competitively with) more expensive and opaque deep neural networks. Lastly, we thoroughly compare our proposed approach with the seminal RlogF pattern acquisition algorithm of, showing that it outperforms it for all the hyper parameters tested, in all settings. }",
    url = {https://aclanthology.org/2022.pandl-1.1.pdf},
    year = {2022}
}



@article{Vacareanu2022AHI,
    title = {A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction},
    author = {Robert Vacareanu and George Caique Gouveia Barbosa and Enrique Noriega-Atala and Gus Hahn-Powell and Rebecca Sharp and Marco Antonio Valenzuela-Escarcega and Mihai Surdeanu},
    journal = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations},
    abstract = "{We propose a system that assists a user in constructing transparent information extraction models, consisting of patterns (or rules) written in a declarative language, through program synthesis.Users of our system can specify their requirements through the use of examples,which are collected with a search interface.The rule-synthesis system proposes rule candidates and the results of applying them on a textual corpus; the user has the option to accept the candidate, request another option, or adjust the examples provided to the system.Through an interactive evaluation, we show that our approach generates high-precision rules even in a 1-shot setting. On a second evaluation on a widely-used relation extraction dataset (TACRED), our method generates rules that outperform considerably manually written patterns.Our code, demo, and documentation is available at https://clulab.github.io/odinsynth.}",
    url = {https://aclanthology.org/2022.naacl-demo.8.pdf},
    year = {2022}
}



@inproceedings{nitschke-etal-2022-rule,
    title = "Rule Based Event Extraction for Artificial Social Intelligence",
    author = "Nitschke, Remo  and
      Wang, Yuwei  and
      Chen, Chen  and
      Pyarelal, Adarsh  and
      Sharp, Rebecca",
    booktitle = "Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Conference on Computational Linguistics",
    url = "https://aclanthology.org/2022.pandl-1.9",
    pages = "71--84",
    abstract = "Natural language (as opposed to structured communication modes
        such as Morse code) is by far the most common mode of communication
        between humans, and can thus provide significant insight into both
        individual mental states and interpersonal dynamics. As part of
        DARPA{'}s Artificial Social Intelligence for Successful Teams (ASIST)
        program, we are developing an AI agent team member that constructs and
        maintains models of their human teammates and provides appropriate
        task-relevant advice to improve team processes and mission performance.
        One of the key components of this agent is a module that uses a
        rule-based approach to extract task-relevant events from natural
        language utterances in real time, and publish them for consumption by
        downstream components. In this case study, we evaluate the performance
        of our rule-based event extraction system on a recently conducted ASIST
        experiment consisting of a simulated urban search and rescue mission in
        Minecraft. We compare the performance of our approach with that of a
        zero-shot neural classifier, and find that our approach outperforms the
        classifier for all event types, even when the classifier is used in an
        oracle setting where it knows how many events should be extracted from
        each utterance.",
}



@inproceedings{zupon2020capsnet,
  title={An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios},
  author={Zupon, Andrew and Rafique, Faiz and Surdeanu, Mihai},
  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP},
  url={http://clulab.org/papers/insights2020-capsnet.pdf},
  year={2020}
}



@inproceedings{liang2020can,
  title={Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?},
  author={Liang, Zhengzhong and Surdeanu, Mihai},
  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP},
  url={http://clulab.org/papers/emnlp2020-can.pdf},
  year={2020}
}



@article{van2020covid,
  title={The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19},
  author={Hoang Van and Ahmad Musa and Mihai Surdeanu and Stephen Kobourov},
  journal={arXiv preprint arXiv:2010.07466},
  url={https://arxiv.org/abs/2010.07466},
  year={2020}
}



@article{liang2020using,
  title={Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering},
  author={Liang, Zhengzhong and Zhao, Yiyun and Surdeanu, Mihai},
  journal={arXiv preprint arXiv:2009.10791},
  url = "https://arxiv.org/abs/2009.10791",
  year={2020}
}



@InProceedings{jansen-EtAl:2016:COLING,
  author    = {Jansen, Peter  and  Balasubramanian, Niranjan  and  Surdeanu, Mihai  and  Clark, Peter},
  title     = {What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {2956-2965},
  url       = {http://aclweb.org/anthology/C16-1278},
  url_Data  = {http://allenai.org/data.html},
}


@inproceedings{valenzuela2015identifying,
  title={Identifying meaningful citations},
  author={Valenzuela, Marco and Ha, Vu and Etzioni, Oren},
  booktitle={Proceedings of the "Scholarly Big Data: AI Perspectives, Challenges, and Ideas" Workshop at the Twenty-Ninth AAAI Conference on Artificial Intelligence},
  year={2015},
  url={http://ai2-website.s3.amazonaws.com/publications/ValenzuelaHaMeaningfulCitations.pdf}
}


@inproceedings{Jansen:14,
	year = {2014},
	author = {Jansen, Peter and Surdeanu, Mihai and Clark, Peter},
	booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)},
	title = {Discourse Complements Lexical Semantics for Non-factoid Answer Reranking},
  url = {http://clulab.org/papers/acl2014.pdf},
  url_Code_And_Data = {http://nlp.sista.arizona.edu/releases/acl2014/},
  url_Slides = {http://nlp.sista.arizona.edu/releases/acl2014/},
}


@inproceedings{Manning:14,
	year = {2014},
	author = {Manning, Christopher D. and Surdeanu, Mihai and Bauer, John and Finkel, Jenny and Bethard, Steven J. and McClosky, David},
	booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)},
	title = {The Stanford CoreNLP Natural Language Processing Toolkit},
  url = {http://clulab.org/papers/acl2014-corenlp.pdf},
  url_Code = {http://nlp.stanford.edu/software/corenlp.shtml},
}


@InProceedings{Valenzuela:15,
  author    = {Valenzuela-Escarcega, Marco A. and Gustave Hahn-Powell and Thomas Hicks and Mihai Surdeanu},
  title     = {A Domain-independent Rule-based Framework for Event Extraction},
  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Assian Federation of Natural Language Processing: Software Demonstrations (ACL-IJCNLP)},
  year      = {2015},
  url      = {http://clulab.org/papers/acl2015.pdf},
  url_Code  = {https://github.com/sistanlp/processors},
}


@inproceedings{Fried:14,
	year = {2014},
	author = {Fried, Daniel and Surdeanu, Mihai and Kobourov, Stephen and Hingle, Melanie and Bell, Dane},
	booktitle = {Proceedings of the 2014 IEEE International Conference on Big Data},
	title = {Analyzing the Language of Food on Social Media},
  url = {http://clulab.org/papers/bigdata2014.pdf},
  url_Supplmental_Material = {http://arxiv.org/abs/1409.2195},
  url_Demo = {https://sites.google.com/site/twitter4food/},
}


@InProceedings{Valenzuela:16b,
  author    = {Valenzuela-Escarcega, Marco A. and Gustave Hahn-Powell and Dane Bell and Mihai Surdeanu},
  title     = {SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction},
  booktitle = {Proceedings of the 2016 Workshop on Biomedical Natural Language Processing (BioNLP 2016)},
  year      = {2016},
  url       = {https://arxiv.org/abs/1606.09604},
}


@InProceedings{HahnPowell:16,
  author    = {Gustave Hahn-Powell and Dane Bell and Valenzuela-Escarcega, Marco A. and Mihai Surdeanu},
  title     = {This before That: Causal Precedence in the Biomedical Domain},
  booktitle = {Proceedings of the 2016 Workshop on Biomedical Natural Language Processing (BioNLP 2016)},
  year      = {2016},
  url       = {https://arxiv.org/abs/1606.08089},
  note         = {Latest results can be found at {https://repository.arizona.edu/handle/10150/630562}}
}


@Article{Zapirain:13,
  author    = {Benat Zapirain and Eneko Agirre and Lluis Marquez and Mihai Surdeanu},
  title     = {Selectional Preferences for Semantic Role Classification},
  journal = {Computational Linguistics},
  volume = {39},
  number = {3},
  year      = {2013},
  url = {http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00145},
}


@Article{Lee:13,
  author    = {Heeyoung Lee and Angel Chang and Yves Peirsman and Nathanael Chambers and Mihai Surdeanu and Dan Jurafsky},
  title     = {Deterministic coreference resolution based on entity-centric, precision-ranked rules},
  journal = {Computational Linguistics},
  volume = {39},
  number = {4},
  year      = {2013},
  url = {http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00152},
}


@inproceedings{Sharp2016,
	year = {2016},
	author = {Sharp, Rebecca and Mihai Surdeanu and Peter Jansen and Peter Clark and Michael Hammond},
	booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},
	title = {Creating Causal Embeddings for Question Answering with Minimal Supervision},
  url = {http://arxiv.org/abs/1609.08097},
  url_Data_and_Code = {http://clulab.org/data/emnlp2016-causal/},
}


@inproceedings{surdeanu2013-icail,
	year = {2013},
	author = {Mihai Surdeanu and Sara Jeruss},
	booktitle = {Proceedings of the XIV International Conference on Artificial Intelligence and Law (ICAIL)},
	title = {Identifying Patent Monetization Entities},
  url = {http://clulab.org/papers/icail2013.pdf},
}


@inproceedings{Surdeanu:13,
	year = {2013},
	author = {Surdeanu, Mihai},
	booktitle = {Proceedings of the TAC-KBP 2013 Workshop},
	title = {Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling},
  url = {http://clulab.org/papers/kbp2013.pdf},
  url_Slides_SF = {http://clulab.org/papers/kbp2013_sf.pdf},
  url_Slides_TSF = {http://clulab.org/papers/kbp2013_tsf.pdf},
}


@inproceedings{SurdeanuHeng:14,
	year = {2014},
	author = {Surdeanu, Mihai and Heng, Ji},
	booktitle = {Proceedings of the TAC-KBP 2014 Workshop},
	title = {Overview of the English Slot Filling Track at the TAC2014 Knowledge Base Population Evaluation},
  url = {http://clulab.org/papers/kbp2014_draft.pdf},
}


@inproceedings{Reschke:14,
	year = {2014},
	author = {Reschke, Kevin and Jankowiak, Martin and Surdeanu, Mihai and Manning, Christopher D. and Jurafsky, Dan},
	booktitle = {Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC)},
	title = {Event Extraction Using Distant Supervision},
  url = {http://clulab.org/papers/lrec2014_ds.pdf},
  url_Data = {http://nlp.stanford.edu/projects/dist-sup-event-extraction.shtml},
  url_Slides = {http://clulab.org/papers/lrec2014_ds_slides.pdf}
}


@inproceedings{Lee:14,
	year = {2014},
	author = {Lee, Heeyoung and MacCartney, Bill and Surdeanu, Mihai and Jurafsky, Dan},
	booktitle = {Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC)},
	title = {On the Importance of Text Analysis for Stock Price Prediction},
  url = {http://clulab.org/papers/lrec2014_stocks.pdf},
  url_Data = {http://nlp.stanford.edu/pubs/stock-event.html},
  url_Slides = {http://clulab.org/papers/lrec2014_stocks_slides.pdf},
}


@InProceedings{Bell:16,
  author    = {Bell, Dane and Gustave Hahn-Powell and Marco A. Valenzuela-Escarcega and Gustave Hahn-Powell  and Mihai Surdeanu},
  title     = {An Investigation of Coreference Phenomena in the Biomedical Domain},
  booktitle = {Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)},
  year      = {2016},
  url       = {http://clulab.org/papers/lrec2016-coref.pdf},
  url_Code  = {https://github.com/clulab/reach},
}


@InProceedings{Valenzuela:16,
  author    = {Valenzuela-Escarcega, Marco A. and Gustave Hahn-Powell  and Mihai Surdeanu},
  title     = {Odin's Runes: A Rule Language for Information Extraction},
  booktitle = {Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)},
  year      = {2016},
  url       = {http://surdeanu.info/mihai/papers/lrec2016-odin.pdf},
  url_Code  = {https://github.com/sistanlp/processors},
}


@InProceedings{Bell:16b,
  author    = {Bell, Dane and Daniel Fried and Luwen Huangfu and Mihai Surdeanu and Stephen Kobourov},
  title     = {Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness},
  booktitle = {Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)},
  year      = {2016},
  url       = {http://clulab.org/papers/lrec2016-t4f.pdf},
  url_Code  = {https://github.com/clulab/twitter4food},
}


@InProceedings{Surdeanu:15,
  author    = {Surdeanu, Mihai and Thomas Hicks and Marco A. Valenzuela-Escarcega},
  title     = {Two Practical Rhetorical Structure Theory Parsers},
  booktitle = {Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT): Software Demonstrations},
  year      = {2015},
  url       = {http://clulab.org/papers/naacl2015-discourse.pdf},
  url_Code  = {https://github.com/sistanlp/processors},
}


@InProceedings{Intxaurrondo:15,
  author    = {Intxaurrondo, Ander and Eneko Agirre and Oier Lopez de Lacalle and Mihai Surdeanu},
  title     = {Diamonds in the Rough: Event Extraction from Imperfect Microblog Data},
  booktitle = {Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT)},
  year      = {2015},
  url       = {http://clulab.org/papers/naacl2015-ee.pdf},
  url_Data  = {http://ixa.eus/Ixa/Argitalpenak/Artikuluak/1425465524/publikoak/earthquake-kb-dataset.zip},
}


@InProceedings{Sharp:15,
  author    = {Sharp, Rebecca and Peter Jansen and Mihai Surdeanu and Peter Clark},
  title     = {Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering},
  booktitle = {Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT)},
  year      = {2015},
  url       = {http://clulab.org/papers/naacl2015-qa.pdf},
  url_Data_and_Some_Code = {http://surdeanu.cs.arizona.edu/mihai/papers/straw2gold.zip},
}


@inproceedings{intxaurrondo13,
	year = {2013},
	author = {Ander Intxaurrondo and Mihai Surdeanu and Oier Lopez de Lacalle and Eneko Agirre},
	booktitle = {Proceedings of the 29th "Congreso de la Sociedad Espa{\~{n}}ola para el Procesamiento del Lenguaje Natural" (SEPLN 2013)},
	title = {Removing Noisy Mentions for Distant Supervision},
  url = {http://clulab.org/papers/sepln13.pdf},
}


@inproceedings{Tran:14,
	year = {2014},
	author = {Tran, Anh and Surdeanu, Mihai and Cohen, Paul},
	booktitle = {Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM)},
	title = {Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge},
  url = {http://clulab.org/papers/starsem2014.pdf},
  url_Slides = {http://clulab.org/papers/starsem2014_slides.pdf},
}


@article{Fried:2015,
        author = {Daniel Fried and Peter Jansen and Gustave Hahn-Powell and Mihai
Surdeanu and Peter Clark},
        title = {Higher-order Lexical Semantic Models for Non-factoid Answer
Reranking},
        journal = {Transactions of the Association for Computational Linguistics},
        volume = {3},
        year = {2015},
        keywords = {},
        abstract = {Lexical semantic models provide robust performance for question
answering, but, in general, can only capitalize on direct evidence seen
during training. For example, monolingual alignment models acquire term
alignment probabilities from semi-structured data such as question-answer
pairs; neural network language models learn term embeddings from
unstructured text. All this knowledge is then used to estimate the semantic
similarity between question and answer candidates.  We introduce a
higher-order formalism that allows all these lexical semantic models to
chain direct evidence to construct indirect associations between question
and answer texts, by casting the task as the traversal of graphs that encode
direct term associations.  Using a corpus of 10,000 questions from Yahoo!
Answers, we experimentally demonstrate that higher-order methods are broadly
applicable to alignment and language models, across both word and syntactic
representations. We show that an important criterion for success is
controlling for the semantic drift that accumulates during graph traversal.
All in all, the proposed higher-order approach improves five out of the six
lexical semantic models investigated, with relative gains of up to +13\%
over their first-order variants. },
        issn = {2307-387X},
        url =
{https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/550},
        pages = {197-210}
}


@inproceedings{Forbes:13,
	year = {2013},
	author = {Angus Forbes and Mihai Surdeanu and Peter Jansen and Jane Carrington},
	booktitle = {Proceedings of the 3rd IEEE Workshop on Interactive Visual Text Analytics},
	title = {Transmitting Narrative: An Interactive Shift-Summarization Tool for Improving Nurse Communication},
  url = {http://clulab.org/papers/textvis2013.pdf},
}


@article{valenzuela2015description,
  title={Description of the odin event extraction framework and rule language},
  author={Valenzuela-Escarcega, Marco A and Hahn-Powell, Gus and Surdeanu, Mihai},
  journal={arXiv preprint arXiv:1509.07513},
  year={2015},
  url={https://arxiv.org/pdf/1509.07513},
}


@InProceedings{Colin:NAACLHLT2013,
title={Bayesian modeling of scenes and captions},
author={Colin R. Dawson, Luca Del Pero, Clayton T. Morrison, Mihai Surdeanu, Gustave Hahn-Powell, Zachary Chapman and Kobus Barnard},
year={2013},
booktitle={Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2013), Workshop on Vision and Language (WVL)},
url_Slides={http://surdeanu.info/mihai/papers/wvl2013_slides.pdf},
}


@inproceedings{sharp2017tell,
  title={Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification},
  author={Sharp, Rebecca and Surdeanu, Mihai and Jansen, Peter and Valenzuela-Escarcega, Marco A and Clark, Peter and Hammond, Michael},
  booktitle={Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)},
  pages={69-79},
  year={2017},
  url={http://www.aclweb.org/anthology/K17-1009}
}


@article{jansen2017framing,
  title={Framing QA as Building and Ranking Intersentence Answer Justifications},
  author={Jansen, Peter and Sharp, Rebecca and Surdeanu, Mihai and Clark, Peter},
  journal={Computational Linguistics},
  year={2017},
  publisher={MIT Press},
  url={http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00287}
}


@inproceedings{noriega2017learning,
  title={Learning what to read: Focused machine reading},
  author={Noriega-Atala, Enrique and Valenzuela-Escarcega, Marco A and Morrison, Clayton and Surdeanu, Mihai},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  pages={2895-2900},
  year={2017},
  url={https://arxiv.org/pdf/1709.00149.pdf}
}


@article{lee2017scaffolding,
  title={A scaffolding approach to coreference resolution integrating statistical and rule-based models},
  author={Lee, Heeyoung and Surdeanu, Mihai and Jurafsky, Dan},
  journal={Natural Language Engineering},
  pages={1-30},
  year={2017},
  publisher={Cambridge University Press},
  url={https://www.cambridge.org/core/services/aop-cambridge-core/content/view/042D0D6C6E125EFB939E0F2C2E63152B/S1351324917000109a.pdf/div-class-title-a-scaffolding-approach-to-coreference-resolution-integrating-statistical-and-rule-based-models-div.pdf}
}


@article{hahn2017swanson,
  title={Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph},
  author={Hahn-Powell, Gus and Valenzuela-Escarcega, Marco A and Surdeanu, Mihai},
  journal={Proceedings of ACL 2017, System Demonstrations},
  pages={103-108},
  year={2017},
  url={http://www.aclweb.org/anthology/P17-4018}
}


@inproceedings{enrique2017focused,
  title={Focused Reading: Reinforcement Learning for What Documents to Read},
  author={Enrique Noriega-Atala and Marco A. Valenzuela-Escarcega and Clayton T. Morrison and Mihai Surdeanu},
  booktitle={Proceedings of the Interactive Machine Learning and Semantic Information Retrieval Workshop at ICML, 2017},
  year={2017},
  url={http://clulab.org/papers/focusedreading2017.pdf}
}


@inproceedings{biocreative6,
title={{Large-scale automated reading with Reach discovers new cancer driving mechanisms}},
author={Valenzuela-Escarcega, Marco A. and Ozgun Babur and Gus Hahn-Powell and Dane Bell and Thomas Hicks and Enrique Noriega-Atala and Xia Wang and Mihai Surdeanu and Emek Demir and Clayton T. Morrison},
pages={201-203},
year={2017},
booktitle={Proceedings of the Sixth BioCreative Challenge Evaluation Workshop},
url={http://clulab.org/papers/biocreative6.pdf}
}


@article{Rains:20182,
        author = {Stephen A. Rains and Melanie D. Hingle and Mihai Surdeanu and Dane Bell and Stephen Kobourov},
        title = {Effects of Message Framing on Diabetes Screening Attitudes and Behavior},
        journal = {Manuscript in preparation},
        year = {2018},
        url = {http://clulab.org/papers/DiabetesMessageFramingStudyBriefReport.pdf}
}


@inproceedings{lrec2018,
  title={Grounding Gradable Adjectives through Crowdsourcing},
  author={Sharp, Rebecca and Paul, Mithun and Nagesh, Ajay and Bell, Dane and Surdeanu, Mihai},
  booktitle={LREC 2018},
  year={2018},
  url={http://clulab.org/papers/GroundingGradableAdjectivesthroughCrowdsourcing.pdf}
}


@Article{Rains:2018,
  author    = {Stephen A. Rains and Melanie D. Hingle and Mihai Surdeanu and Dane Bell and Stephen Kobourov},
  title     = {A Test of The Risk Perception Attitude Framework as a Message Tailoring Strategy to Promote Diabetes Screening},
  journal = {Health Communication},
  url = {http://clulab.org/papers/RainsHingleSurdeanuetalHC.pdf},
  url_odi = {https://doi.org/10.1080/10410236.2018.1431024},
  year = {2018}
}


@InProceedings{jansen2018worldtree,
    author = {Peter Jansen and Elizabeth Wainwright and Steven Marmorstein and Clayton T. Morrison},
    title = {WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference},
    booktitle = {Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC)},
    year = {2018},
    url = {http://cognitiveai.org/wp-content/uploads/2018/02/jansen_et_al_lrec2018_worldtree_computable_explanation_corpus_8pg_cameraready.pdf},
    url_code = {http://cognitiveai.org/explanationbank/}
}


@inproceedings{jansen:akbc2017,
 author = {Peter Jansen},
 title = {A Study of Automatically Acquiring Explanatory Inference Patterns from Corpora of Explanations: Lessons from Elementary Science Exams},
 booktitle = {Proceedings of the 2017 Workshop on Automated Knowledge Base Construction},
 series = {AKBC'17},
 year = {2017},
 url = {http://cognitiveai.org/wp-content/uploads/2017/11/jansen_akbc2017_automatically_acquiring_explanatory_inference_patterns_from_corpora_of_explanations.pdf},
 url_data = {http://cognitiveai.org/explanationbank/}
}


@InProceedings{heeyoung2018ecir,
    author = {Heeyoung Kwon and Harsh Trivedi and Peter Jansen and Mihai Surdeanu and Niranjan Balasubramanian},
    title = {Controlling Information Aggregation for Complex Question Answering},
    booktitle = {Proceedings of the 40th European Conference on Information Retrieval (ECIR)},
    year = {2018},
    url = {http://clulab.org/papers/ecir2018.pdf}
}


@inproceedings{TAG-2018,
    author = {Angus G. Forbes and Kristine Lee and Gus Hahn-Powell and Marco A. Valenzuela-Escarcega and Mihai Surdeanu},
    title = {Text Annotation Graphs: Annotating Complex Natural Language Phenomena},
    booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC'18)},
    year = {2018},
    month = {May},
    address = {Miyazaki, Japan},
    publisher = {European Language Resources Association (ELRA)},
    url_code = {https://github.com/CreativeCodingLab/TextAnnotationGraphs},
    url = {https://arxiv.org/pdf/1711.00529.pdf}
 }


@inproceedings{DBLP:conf/naacl/ANMS18,
  author    = {Ajay Nagesh and
               Mihai Surdeanu},
  title     = {Keep your bearings: Lightly-supervised Information Extraction with Ladder Networks that avoids Semantic Drift},
  booktitle = {{NAACL} {HLT} 2018, The 16th Annual Conference of the North American Chapter
               of the Association for Computational Linguistics: Human Language Technologies,
               New Orleans, Louisiana, USA, Jun 1 - June 6, 2018},
  year      = {2018},
  url = {http://clulab.org/papers/naaclhlt2018.pdf}
}


@inproceedings{whitespaces-identification2018,
  title={Scientific Discovery as Link Prediction in Influence and Citation Graphs},
  author={Fan Luo and
      	Marco A. Valenzuela-Escarcega and
        Gus Hahn-Powell and
        Mihai Surdeanu},
  booktitle = {TextGraphs: 12th Workshop on Graph-Based Natural Language Processing},
  year={2018},
  abstract = {We introduce a machine learning approach for the identification of ``white spaces'' in scientific knowledge. Our approach addresses this task as link prediction over a graph that contains over 2M influence statements such as ``CTCF activates FOXA1'', which were automatically extracted using open-domain machine reading. We model this prediction task using graph-based features extracted from the above influence graph, as well as from a citation graph that captures scientific communities. We evaluated the proposed approach through backtesting. Although the data is heavily unbalanced (50 times more negative examples than positives), our approach predicts which influence links will be discovered in the ``near future'' with a F1 score of 27 points, and a mean average precision of 68\%. },
  organization={NAACL},
  url_Slides={http://clulab.org/papers/TextGraphs.pdf},
  url={http://clulab.org/papers/ScientificDiscoveryasLinkPredictioninInfluenceandCitationGraphs.pdf}
}


@inproceedings{vikasy_ARC_2018,
  title={Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge},
  author={Yadav, Vikas and Sharp, Rebecca and Surdeanu, Mihai},
  booktitle = "Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)",
  year={2018},
  url = {https://arxiv.org/pdf/1807.01836.pdf}
}


@article{vikasy_ARC_2018,
  title={Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge},
  author={Yadav, Vikas and Sharp, Rebecca and Surdeanu, Mihai},
  year={2018},
  url = {https://arxiv.org/pdf/1807.01836.pdf}
}


@inproceedings{lrec2018,
  title={Lightly-supervised Representation Learning with Global Interpretability},
  author={Valenzuela-Escarcega, Marco A  and Nagesh, Ajay and Surdeanu, Mihai},
  booktitle={arXiv},
  year={2018},
  url={https://arxiv.org/abs/1805.11545/}
}


@InProceedings{SHARP18.977,
  author = {Rebecca Sharp and Mithun Paul and Ajay Nagesh and Dane Bell and Mihai Surdeanu},
  title = {Grounding gradable adjectives through crowdsourcing},
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May},
  date = {7-12},
  location = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H\'{e}l\`{e}ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {979-10-95546-00-9},
  language = {english},
  url = {http://www.lrec-conf.org/proceedings/lrec2018/pdf/977.pdf}
}


@InProceedings{bell2018detecting,
  title	    = {Detecting diabetes risk from social media activity},
  author    = {Bell, Dane and Laparra, Egoitz and Kousik, Aditya and Ishihara, Terron and Surdeanu, Mihai and Kobourov, Stephen},
  booktitle = {Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI)},
  year      = {2018},
  url = {http://clulab.org/papers/louhi2018-t2dmrisk.pdf},
  url_Slides = {http://clulab.org/papers/louhi2018-emnlp.pptx}
}


@Article{Zhou:2018,
  author    = {Jun Zhou and Dane Bell and Sabina Nusrat and Melanie D.\ Hingle and Mihai Surdeanu and Stephen Kobourov},
  title     = {Calorie estimation from pictures of food: Crowdsourcing study},
  journal = {Interactive Journal of Medical Research (IJMR)},
  url = {http://clulab.org/papers/Zhou2018.pdf},
  doi = {10.2196/ijmr.9359},
  year = {2018}
}


@InProceedings{C18-1196,
  author = 	"Nagesh, Ajay
		and Surdeanu, Mihai",
  title = 	"An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification",
  booktitle = 	"Proceedings of the 27th International Conference on Computational Linguistics",
  year = 	"2018",
  publisher = 	"Association for Computational Linguistics",
  pages = 	"2312-2324",
  location = 	"Santa Fe, New Mexico, USA",
  url = 	"http://aclweb.org/anthology/C18-1196"
}


@Article{ValenzuelaEscarcega2018LargescaleAR,
  title     = {Large-scale Automated Machine Reading Discovers New
Cancer Driving Mechanisms},
  author  = {Valenzuela{-}Escarcega, Marco A. and Ozgun Babur and Gus Hahn-Powell and Dane Bell and Thomas Hicks and Enrique Noriega-Atala and Xia Wang and Mihai Surdeanu and Emek Demir and Clayton T. Morrison},
  journal = {Database: The Journal of Biological Databases and Curation},
  url = {http://clulab.org/papers/escarcega2018.pdf},
  doi = {10.1093/database/bay098},
  year = {2018}
}


@inproceedings{berger2018emboot,
  title={Visual Supervision in Bootstrapped Information Extraction},
  author={Berger, Matthew and Nagesh, Ajay and Levine, Joshua A. and Surdeanu, Mihai and Zhang, Hao Helen},
  booktitle={Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year={2018},
  url={http://clulab.org/papers/emnlp2018.pdf}
}


@InProceedings{Ebrahimi2018isi,
    author = {Mohammadreza Ebrahimi and Mihai Surdeanu and Sagar Samtani and Hsinchun Chen},
    title = {Detecting Cyber Threats in Non-English Dark Net Markets: A Cross-Lingual Transfer Learning Approach},
    booktitle = {Proceedings of the IEEE Intelligence and Security Informatics Conference (ISI)},
    year = {2018},
    note = {This paper won the Best Paper Runner-up Award.},
    url = {http://clulab.org/papers/isi2018.pdf}
}


@inproceedings{barbosa2019,
    title={Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text},
    author={Barbosa, George C.G. and Wong, Zechy and Hahn-Powell, Gus and Bell, Dane and Sharp, Rebecca and Valenzuela-Escarcega, Marco A. and Surdeanu, Mihai},
    booktitle={Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT): Software Demonstrations},
    year={2019},
    note={This paper received the Best System Demonstration award},
    url={http://clulab.org/papers/NAACL2019_1.pdf}
}


@INPROCEEDINGS {polarity2019,
    author    = "Enrique Noriega-Atala and Zhengzhong Liang and John A. Bachman and Clayton T. Morrison and Mihai Surdeanu",
    title     = "Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods",
    booktitle = "Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications",
    organization={NAACL-HLT},
    year      = "2019",
    url = {http://clulab.org/papers/polarity19.pdf}
}


@inproceedings{fan2019MTre,
title={Semi-Supervised Teacher-Student Architecture for Relation Extraction},
author={Fan Luo and
Ajay Nagesh and
Rebecca Sharp and
Mihai Surdeanu},
booktitle = {Proceedings of the 3rd Workshop on Structured Prediction for Natural Language Processing},
year={2019},
organization={NAACL-HLT},
url={http://clulab.org/papers/meanteacherre19.pdf}
}


@INPROCEEDINGS {naaclhlt2019-emboot,
    author       = "Andrew Zupon and Maria Alexeeva and Marco A. Valenzuela-Escarcega and Ajay Nagesh and Mihai Surdeanu",
    title        = "Lightly Supervised Representation Learning with Global Interpretability",
    booktitle    = "Proceedings of the 3rd Workshop on Structured Prediction for Natural Language Processing",
    year         = "2019",
    organization = "NAACL-HLT",
    url = {http://clulab.org/papers/naaclhlt2019-emboot.pdf}
}


@phdthesis{ghpdiss2018,
        author = {Gus Hahn-Powell},
        publisher = {The University of Arizona},
        year = {2018},
        title = {Machine Reading for Scientific Discovery},
        url = {https://repository.arizona.edu/handle/10150/630562}
}


@InProceedings{van2019language,
  title	    = {What does the language of foods say about us?},
  author    = {Van, Hoang and Musa, Ahmad and Chen, Hang and Surdeanu, Mihai and Kobourov, Stephen},
  booktitle = {Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI)},
  year      = {2019},
  url = {http://clulab.org/papers/louhi2019.pdf},
  url_Slides = {http://clulab.org/papers/louhi2019.pptx}
}


@inproceedings{suntwal-etal-2019-importance,
    title = "On the Importance of Delexicalization for Fact Verification",
    author = "Suntwal, Sandeep  and
      Paul, Mithun  and
      Sharp, Rebecca  and
      Surdeanu, Mihai",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/D19-1340",
    doi = "10.18653/v1/D19-1340",
    pages = "3413-3418",
}


@InProceedings{vacareanu2020parsing,
    author = {Robert Vacareanu and George C. G. Barbosa and Marco A. Valenzuela-Escarcega and Mihai Surdeanu},
    title = {Parsing as Tagging},
    booktitle = {Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC)},
    year = {2020},
    url = {http://clulab.org/papers/pat.pdf}
}


@inproceedings{zheng-tang-2019-edin,
    title = "Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder",
    author = "Tang, Zheng and Hahn-Powell, Gustave and Surdeanu, Mihai",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop",
    month = jul,
    year = "2020",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "http://clulab.org/papers/aclsrw2020-edin.pdf"
}


@inproceedings{vacareanu2020mwe,
  title={An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification},
  author={Robert Vacareanu and Marco A. Valenzuela-Escarcega and Rebecca Sharp and Mihai Surdeanu},
  booktitle={The 28th International Conference on Computational Linguistics in Barcelona (COLING 2020)},
  url={http://clulab.org/papers/coling2020-mwe.pdf},
  year={2020}
}


@inproceedings{mithun2020modeldis,
  title={Data and Model Distillation as a Solution for Domain-transferable Fact Verification},
  author={Mithun, Mitch and Suntwal, Sandeep and Surdeanu, Mihai},
  booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  url={http://clulab.org/papers/knowledge_disillation.pdf},
  year={2021}
}


@inproceedings{liang2021using,
  title={Using the Hammer Only on Nails: A Hybrid Method for Representation-based Evidence Retrieval for Question Answering},
  author={Liang, Zhengzhong and Zhao, Yiyun and Surdeanu, Mihai},
  booktitle={Proceedings of 43rd European Conference on IR Research, ECIR 2021},
  url={http://clulab.org/papers/ecir2021-hybrid.pdf},
  year={2021}
}


@inproceedings{zheng-tang-2021-edin,
    title = "Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractor with an Explanation Decoder",
    author = "Tang, Zheng and Surdeanu, Mihai",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: TrustNLP Workshop",
    year = "2021",
    url = "http://clulab.org/papers/trustNLP2021_edin.pdf"
}


@inproceedings{culnan-etal-2021-ire,
    title = "Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection",
    author = "Culnan, John  and
      Park, Seongjin  and
      Krishnaswamy, Meghavarshini  and
      Sharp, Rebecca",
    booktitle = "Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
    month = apr,
    year = "2021",
    url = "https://www.aclweb.org/anthology/2021.wassa-1.26",
    pages = "250--256"
}


@article{Van2021CheapAG,
  title={Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading},
  author={Hoang Van and Vikas Yadav and M. Surdeanu},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.04134},
  url={https://arxiv.org/pdf/2106.04134.pdf}
}


@inproceedings{mithun2021students,
  title={Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification},
  author={Mithun, Mitch Paul and Suntwal, Sandeep and Surdeanu, Mihai},
  booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
  pages={6968--6973},
  year={2021},
  url={https://aclanthology.org/2021.emnlp-main.558.pdf}
}


@inproceedings{van-etal-2021-may-help,
    title = "How May {I} Help You? Using Neural Text Simplification to Improve Downstream {NLP} Tasks",
    author = "Van, Hoang  and
      Tang, Zheng  and
      Surdeanu, Mihai",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-emnlp.343",
    pages = "4074--4080",
    abstract = "The general goal of text simplification (TS) is to reduce text complexity for human consumption. In this paper, we investigate another potential use of neural TS: assisting machines performing natural language processing (NLP) tasks. We evaluate the use of neural TS in two ways: simplifying input texts at prediction time and augmenting data to provide machines with additional information during training. We demonstrate that the latter scenario provides positive effects on machine performance on two separate datasets. In particular, the latter use of TS improves the performances of LSTM (1.82{--}1.98{\%}) and SpanBERT (0.7{--}1.3{\%}) extractors on TACRED, a complex, large-scale, real-world relation extraction task. Further, the same setting yields improvements of up to 0.65{\%} matched and 0.62{\%} mismatched accuracies for a BERT text classifier on MNLI, a practical natural language inference dataset.",
}


@misc{noriegaatala2021neural,
      title={Neural Architectures for Biological Inter-Sentence Relation Extraction},
      author={Enrique Noriega-Atala and Peter M. Lovett and Clayton T. Morrison and Mihai Surdeanu},
      year={2021},
      eprint={2112.09288},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}


@article{10.1162/coli_a_00463,
    author = {Tang, Zheng and Surdeanu, Mihai},
    title = "{It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers}",
    journal = {Computational Linguistics},
    volume = {49},
    number = {1},
    pages = {117-156},
    year = {2023},
    month = {03},
    abstract = "{We propose an explainable approach for relation extraction that mitigates the tension between generalization and explainability by jointly training for the two goals. Our approach uses a multi-task learning architecture, which jointly trains a classifier for relation extraction, and a sequence model that labels words in the context of the relations that explain the decisions of the relation classifier. We also convert the model outputs to rules to bring global explanations to this approach. This sequence model is trained using a hybrid strategy: supervised, when supervision from pre-existing patterns is available, and semi-supervised otherwise. In the latter situation, we treat the sequence model’s labels as latent variables, and learn the best assignment that maximizes the performance of the relation classifier. We evaluate the proposed approach on the two datasets and show that the sequence model provides labels that serve as accurate explanations for the relation classifier’s decisions, and, importantly, that the joint training generally improves the performance of the relation classifier. We also evaluate the performance of the generated rules and show that the new rules are a great add-on to the manual rules and bring the rule-based system much closer to the neural models.}",
    issn = {0891-2017},
    doi = {10.1162/coli_a_00463},
    url = {https://doi.org/10.1162/coli\_a\_00463},
    eprint = {https://direct.mit.edu/coli/article-pdf/49/1/117/2068962/coli\_a\_00463.pdf},
}


@inproceedings{bastan2022-sume,
  title={SuMe: A Dataset Towards Summarizing Biomedical Mechanisms},
  author={Bastan, Mohaddeseh and Shankar, Nishant and Surdeanu, Mihai and Balasubramanian, Niranjan},
  booktitle={Proceedings of the 2022 LREC Conference},
  year={2022},
  url={http://clulab.org/papers/SuMe_LREC2022.pdf}
}



@inproceedings{bastan2023-structural,
  title={NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints},
  author={Bastan, Mohaddeseh and Surdeanu, Mihai and Balasubramanian, Niranjan},
  booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},
  year={2023},
  url={https://aclanthology.org/2023.acl-long.528.pdf}
}



@inproceedings{rahimi2022bird,
  title={Do Transformer Networks Improve the Discovery of Rules from Text?},
  author={Rahimi, Mahdi and Surdeanu, Mihai},
  booktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},
  year={2022},
  url={http://clulab.org/papers/bird.pdf},
  url_Poster={http://clulab.org/papers/can_poster.pdf}
}


@inproceedings{bridgephrases-identification2022,
  title={A STEP towards Interpretable Multi-Hop Reasoning: Bridge Phrase Identification and Query Expansion},
  author={Fan Luo and
        Mihai Surdeanu},
  booktitle = {The 13th edition of Language Resources and Evaluation Conference Processing},
  year={2022},
  abstract = {We propose an unsupervised method for the identification of bridge phrases in multi-hop question answering (QA). Our method
constructs a graph of noun phrases from the question and the available context, and applies the Steiner tree algorithm to identify
the minimal sub-graph that connects all question phrases. Nodes in the sub-graph that bridge loosely-connected or disjoint
subsets of question phrases due to low-strength semantic relations are extracted as bridge phrases. The identified bridge phrases
are then used to expand the query based on the initial question, helping in increasing the relevance of evidence that has little
lexical overlap or semantic relation with the question. Through an evaluation on HotpotQA(Yang et al., 2018), a popular dataset
for multi-hop QA, we show that our method yields: (a) improved evidence retrieval, (b) improved QA performance when using
the retrieved sentences; and (c) effective and faithful explanations when answers are provided.},
  organization={European Language Resource Association (ELRA)},
  url={http://clulab.org/papers/bridgephrases.pdf}
}



@inproceedings{alexeeva-etal-2022-combining,
    title = "Combining Extraction and Generation for Constructing Belief-Consequence Causal Links",
    author = "Alexeeva, Maria  and
      Beal Cohen, Allegra A.  and
      Surdeanu, Mihai",
    booktitle = "Proceedings of the Third Workshop on Insights from Negative Results in NLP",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.insights-1.22",
    pages = "159--164",
    abstract = "In this paper, we introduce and justify a new task{---}causal link extraction based on beliefs{---}and do a qualitative analysis of the ability of a large language model{---}InstructGPT-3{---}to generate implicit consequences of beliefs. With the language model-generated consequences being promising, but not consistent, we propose directions of future work, including data collection, explicit consequence extraction using rule-based and language modeling-based approaches, and using explicitly stated consequences of beliefs to fine-tune or prompt the language model to produce outputs suitable for the task.",
}


@inproceedings{zupon2022lparsinglrec,
	title={Automatic Correction of Syntactic Dependency Annotation Differences},
	author={Zupon, Andrew and Carnie, Andrew and Hammond, Michael and Surdeanu, Mihai},
	booktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},
	year={2022},
	url={http://clulab.org/papers/lrec-parsing.pdf}
}



@inproceedings{https://doi.org/10.48550/arxiv.2205.15281,
  doi = {10.48550/ARXIV.2205.15281},
  url = {https://arxiv.org/abs/2205.15281},
  author = {Noriega-Atala, Enrique and Surdeanu, Mihai and Morrison, Clayton T.},
  title = {Learning Open Domain Multi-hop Search Using Reinforcement Learning},
  booktitle = "Proceedings of the Workshop on Structured and Unstructured Knowledge Integration",
  month = jul,
  year = "2022",
  address = "Seattle, Washington",
  publisher = "Association for Computational Linguistics",
}



@inproceedings{vacareanu2022synthlrec,
        title={From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction},
        author={Vacareanu, Robert and Valenzuela-Esc\'{a}rcega, Marco A. and Barbosa, George and Sharp, Rebecca and Surdeanu, Mihai},
        booktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},
        year={2022},
        url={https://arxiv.org/abs/2202.00475},
}



@Article{park2022geo,
  title     = {Answering Geosciences Research Questions at a Global Scale via a Hybrid Machine-Human Learning Approach: A Case Study of the Link between Climate and Volcanism},
  author  = {Park, Seongjin and Carrapa, Barbara and Ducea, Mihai N. and Surdeanu, Mihai and Hayes, Robert and Collins, Dan},
  journal = {GSA Today},
  url = {https://www.geosociety.org/GSA/Publications/GSA_Today/GSA/GSAToday/science/G528A/article.aspx},
  doi = {https://doi.org/10.1130/GSATG528A.1},
  year = {2022}
}



@inproceedings{bastan-etal-2022-bionli,
    title = "BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples",
    author = "Bastan, Mohaddeseh and Surdeanu, Mihai and Balasubramanian, Niranjan ",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
    year = "2022",
    url = "https://paperswithcode.com/paper/bionli-generating-a-biomedical-nli-dataset",
}



@inproceedings{kwak-etal-2022-legalnli,
    title = "Validity Assessment of Legal Will Statements as Natural Language Inference",
    author = "Kwak, Alice S. and Israelsen, Jacob O. and Morrison, Clayton T. and Bambauer, Derek E. and Surdeanu, Mihai",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
    year = "2022",
    url = "http://clulab.org/papers/kwak2022.pdf",
}


@inproceedings{acl2023-bootstrapping-zheng,
    title = "Bootstrapping Neural Relation and Explanation Classifiers",
    author = "Zheng Tang  and
      Surdeanu, Mihai",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)",
    month = jul,
    year = "2023",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-short.5.pdf",
}


@inproceedings{alexeeva-etal-2020-mathalign,
    title = "{M}ath{A}lign: Linking Formula Identifiers to their Contextual Natural Language Descriptions",
    author = "Alexeeva, Maria  and
      Sharp, Rebecca  and
      Valenzuela-Esc{\'a}rcega, Marco A.  and
      Kadowaki, Jennifer  and
      Pyarelal, Adarsh  and
      Morrison, Clayton",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.269",
    pages = "2204--2212",
    abstract = "Extending machine reading approaches to extract mathematical concepts and their descriptions is useful for a variety of tasks, ranging from mathematical information retrieval to increasing accessibility of scientific documents for the visually impaired. This entails segmenting mathematical formulae into identifiers and linking them to their natural language descriptions. We propose a rule-based approach for this task, which extracts LaTeX representations of formula identifiers and links them to their in-text descriptions, given only the original PDF and the location of the formula of interest. We also present a novel evaluation dataset for this task, as well as the tool used to create it.",
    language = "English",
    ISBN = "979-10-95546-34-4",
}


@inproceedings{
    alexeeva-et-al-2023-annotating,
    title={Annotating and Training for Population Subjective Views},
    author={Alexeeva, Maria and Hyland, Caroline and Alcock, Keith and Beal Cohen,  Allegra A. and Kanyamahanga, Hubert and Anni, Isaac Kobby and Surdeanu, Mihai},
    booktitle={13th Workshop on Computational Approaches to Subjectivity, Sentiment {\&} Social Media Analysis},
    year={2023},
    url={http://clulab.org/papers/wassa2023-beliefs.pdf}
}




@inproceedings{song-etal-2024-metadata,
    title = "Metadata Enhancement Using Large Language Models",
    author = "Song, Hyunju  and
      Bethard, Steven  and
      Thomer, Andrea",
    editor = "Ghosal, Tirthankar  and
      Singh, Amanpreet  and
      Waard, Anita  and
      Mayr, Philipp  and
      Naik, Aakanksha  and
      Weller, Orion  and
      Lee, Yoonjoo  and
      Shen, Shannon  and
      Qin, Yanxia",
    booktitle = "Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024)",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.sdp-1.14",
    pages = "145--154",
    keywords = {workshop paper, term normalization},
}


@inproceedings{crum-bethard-2024-hinoki,
    title = "hinoki at {S}em{E}val-2024 Task 7: Numeral-Aware Headline Generation ({E}nglish)",
    author = "Crum, Hinoki  and
      Bethard, Steven",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Tayyar Madabushi, Harish  and
      Da San Martino, Giovanni  and
      Rosenthal, Sara  and
      Ros{\'a}, Aiala},
    booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.semeval-1.6",
    doi = "10.18653/v1/2024.semeval-1.6",
    pages = "34--39",
    keywords = {shared task paper},
}


@inproceedings{su-etal-2024-semi,
    title = "Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning",
    author = "Su, Xin  and
      Le, Tiep  and
      Bethard, Steven  and
      Howard, Phillip",
    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.naacl-long.475",
    doi = "10.18653/v1/2024.naacl-long.475",
    pages = "8597--8613",
    keywords = {question answering},
    note = {[Acceptance rate 23\%]},
}


@inproceedings{zhang-etal-2024-improving-toponym,
    title = "Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries",
    author = "Zhang, Zeyu  and
      Laparra, Egoitz  and
      Bethard, Steven",
    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.naacl-short.3",
    doi = "10.18653/v1/2024.naacl-short.3",
    pages = "35--44",
    keywords = {geospatial normalization, information extraction},
    note = {[Acceptance rate 23\%]},
}


@proceedings{clinicalnlp-2024-clinical,
    title = "Proceedings of the 6th Clinical Natural Language Processing Workshop",
    editor = "Naumann, Tristan  and
      Ben Abacha, Asma  and
      Bethard, Steven  and
      Roberts, Kirk  and
      Bitterman, Danielle",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.clinicalnlp-1.0",
    keywords = "health",
}


@proceedings{findings-2024-findings-association,
    title = "Findings of the Association for Computational Linguistics: NAACL 2024",
    editor = "Duh, Kevin  and
      Gomez, Helena  and
      Bethard, Steven",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.findings-naacl.0",
}


@proceedings{naacl-2024-long,
    title = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    editor = "Duh, Kevin  and
      Gomez, Helena  and
      Bethard, Steven",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.naacl-long.0",
}


@proceedings{naacl-2024-short,
    title = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)",
    editor = "Duh, Kevin  and
      Gomez, Helena  and
      Bethard, Steven",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.naacl-short.0",
}


@incollection{Bethard2024,
author="Bethard, Steven",
editor="Xu, Hua
and Demner Fushman, Dina",
title="Machine Learning and Deep Learning Algorithms",
bookTitle="Natural Language Processing in Biomedicine: A Practical Guide",
year="2024",
publisher="Springer International Publishing",
address="Cham",
pages="43--76",
isbn="978-3-031-55865-8",
doi="10.1007/978-3-031-55865-8_3",
url="https://doi.org/10.1007/978-3-031-55865-8_3",
keywords={machine learning},
}


@article{zhang_survey_2024,
	title = {A survey on geocoding: algorithms and datasets for toponym resolution},
	issn = {1574-0218},
	shorttitle = {A survey on geocoding},
	url = {https://doi.org/10.1007/s10579-024-09730-2},
	doi = {10.1007/s10579-024-09730-2},
	language = {en},
	urldate = {2024-06-12},
	journal = {Language Resources and Evaluation},
	author = {Zhang, Zeyu and Bethard, Steven},
	month = jun,
	year = {2024},
	keywords = {Geocoding, Geographical entity normalization, Toponym resolution},
}


@article{barbati-etal-2024-examining,
author = {Juliana L. Barbati and Stephen A. Rains and Kate Kenski and Yotam Shmargad and Steven Bethard and Kevin Coe},
title = {Examining the Dynamics of Uncivil Discourse Between Sub-National Political Officials and the Public on Twitter},
journal = {Mass Communication and Society},
volume = {0},
number = {0},
pages = {1-20},
month = feb,
year = {2024},
publisher = {Routledge},
url = {https://doi.org/10.1080/15205436.2024.2313095},
keywords = {social media, civility},
}


@inproceedings{su-etal-2023-fusing,
    title = "Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering",
    author = "Su, Xin  and
      Howard, Phillip  and
      Hakim, Nagib  and
      Bethard, Steven",
    editor = "Bouamor, Houda  and
      Pino, Juan  and
      Bali, Kalika",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-emnlp.67",
    doi = "10.18653/v1/2023.findings-emnlp.67",
    pages = "948--966",
    keywords = {timelines, question answering},
}


@proceedings{clinicalnlp-2023-clinical,
    title = "Proceedings of the 5th Clinical Natural Language Processing Workshop",
    editor = "Naumann, Tristan  and
      Ben Abacha, Asma  and
      Bethard, Steven  and
      Roberts, Kirk  and
      Rumshisky, Anna",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.clinicalnlp-1.0",
    keywords = {health applications},
}


@inproceedings{gonzalez-lopez-bethard-2023-transformer,
    title = "Transformer-based cynical expression detection in a corpus of {S}panish {Y}ou{T}ube reviews",
    author = "Gonzalez-Lopez, Samuel  and
      Bethard, Steven",
    booktitle = "Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, {\&} Social Media Analysis",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.wassa-1.18",
    pages = "194--201",
    keywords = {workshop paper, social media, sentiment},
}


@inproceedings{zhang-bethard-2023-improving,
    title = "Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution",
    author = "Zhang, Zeyu  and
      Bethard, Steven",
    booktitle = "Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.starsem-1.6",
    pages = "48--60",
    keywords = {locations, information extraction},
    note = {[Acceptance rate 47\%]},
}


@inproceedings{bozdag-etal-2023-arizonans,
    title = "Arizonans at {S}em{E}val-2023 Task 9: Multilingual Tweet Intimacy Analysis with {XLM}-{T}",
    author = "Bozdag, Nimet Beyza  and
      Bilgis, Tugay  and
      Bethard, Steven",
    booktitle = "Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.semeval-1.230",
    pages = "1656--1659",
    keywords = {shared task paper, social media},
}


@inproceedings{bilgis-etal-2023-gallagher,
    title = "Gallagher at {S}em{E}val-2023 Task 5: Tackling Clickbait with {S}eq2{S}eq Models",
    author = "Bilgis, Tugay  and
      Bozdag, Nimet Beyza  and
      Bethard, Steven",
    booktitle = "Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.semeval-1.229",
    pages = "1650--1655",
    keywords = {shared task paper, social media},
}


@inproceedings{yao-etal-2023-textual,
    title = "Textual Entailment for Temporal Dependency Graph Parsing",
    author = "Yao, Jiarui  and
      Bethard, Steven  and
      Wright-Bettner, Kristin  and
      Goldner, Eli  and
      Harris, David  and
      Savova, Guergana",
    booktitle = "Proceedings of the 5th Clinical Natural Language Processing Workshop",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.clinicalnlp-1.25",
    pages = "191--199",
    keywords = {workshop paper, timelines, information extraction, health applications},
}


@inproceedings{ozler-bethard-2023-clulab,
    title = "clulab at {MEDIQA}-Chat 2023: Summarization and classification of medical dialogues",
    author = "Ozler, Kadir Bulut  and
      Bethard, Steven",
    booktitle = "Proceedings of the 5th Clinical Natural Language Processing Workshop",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.clinicalnlp-1.19",
    pages = "144--149",
    keywords = {shared task paper, health applications},
}


@inproceedings{miller-etal-2023-end,
    title = "End-to-end clinical temporal information extraction with multi-head attention",
    author = "Miller, Timothy  and
      Bethard, Steven  and
      Dligach, Dmitriy  and
      Savova, Guergana",
    booktitle = "The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.bionlp-1.28",
    pages = "313--319",
    keywords = {workshop paper, timelines, information extraction, health applications},
}


@inproceedings{wang-etal-2023-two,
    title = "Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models",
    author = "Wang, Lijing  and
      Li, Yingya  and
      Miller, Timothy  and
      Bethard, Steven  and
      Savova, Guergana",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.877",
    pages = "15746--15761",
    keywords = {machine learning},
    note = {[Acceptance rate 23\%]},
}


@article{https://doi.org/10.1002/asi.24809,
author = {Laparra, Egoitz and Binford-Walsh, Alex and Emerson, Kirk and Miller, Marc L. and López-Hoffman, Laura and Currim, Faiz and Bethard, Steven},
title = {Addressing structural hurdles for metadata extraction from environmental impact statements},
journal = {Journal of the Association for Information Science and Technology},
volume = {n/a},
number = {n/a},
pages = {},
month = jun,
year = {2023},
doi = {https://doi.org/10.1002/asi.24809},
url = {https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/asi.24809},
keywords = {environmental policy},
}


@article{doi:10.1080/27671127.2023.2195467,
author = {Stephen A. Rains and Kate Kenski and Leah Dajches and Kaylin Duncan and Kun Yan and Yejin Shin and Jules L. Barbati and Steven Bethard and Kevin Coe and Yotam Shmargad},
title = {Engagement with incivility in tweets from and directed at local elected officials},
journal = {Communication and Democracy},
volume = {57},
number = {1},
pages = {143-152},
year  = {2023},
publisher = {Routledge},
doi = {10.1080/27671127.2023.2195467},
URL = {https://doi.org/10.1080/27671127.2023.2195467},
keywords = {social media},
}


@misc{https://doi.org/10.48550/arxiv.2210.13393,
  doi = {10.48550/ARXIV.2210.13393},
  url = {https://arxiv.org/abs/2210.13393},
  author = {Bethard, Steven},
  keywords = {machine learning},
  title = {We need to talk about random seeds},
  organization = {arXiv},
  year = {2022},
  month = oct,
}


@article{10.1093/joc/jqac037,
    author = {Rains, Stephen A and Harwood, Jake and Shmargad, Yotam and Kenski, Kate and Coe, Kevin and Bethard, Steven},
    title = {Engagement with partisan Russian troll tweets during the 2016 U.S. presidential election: a social identity perspective},
    journal = {Journal of Communication},
    volume = {73},
    number = {1},
    pages = {38-48},
    year = {2022},
    month = {12},
    issn = {0021-9916},
    doi = {10.1093/joc/jqac037},
    url = {https://doi.org/10.1093/joc/jqac037},
    keywords = {social media},
}


@article{EMERSON2022106879,
title = {Toward NEPA performance: A framework for assessing EIAs},
journal = {Environmental Impact Assessment Review},
volume = {97},
pages = {106879},
year = {2022},
issn = {0195-9255},
doi = {https://doi.org/10.1016/j.eiar.2022.106879},
url = {https://www.sciencedirect.com/science/article/pii/S0195925522001457},
author = {Kirk Emerson and Elizabeth Baldwin and Tyler A. Scott and Justin R. Pidot and Aaron M. Lien and Faiz Currim and Steven Bethard and Sudha Ram and Marc L. Miller and Laura López-Hoffman},
keywords = {environmental policy},
}


@proceedings{clinicalnlp-2022-clinical,
    title = "Proceedings of the 4th Clinical Natural Language Processing Workshop",
    editor = "Naumann, Tristan  and
      Bethard, Steven  and
      Roberts, Kirk  and
      Rumshisky, Anna",
    month = jul,
    year = "2022",
    address = "Seattle, WA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.clinicalnlp-1.0",
    keywords = {health applications},
}


@inproceedings{wang-etal-2022-ensemble,
    title = "Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative",
    author = "Wang, Lijing  and
      Miller, Timothy  and
      Bethard, Steven  and
      Savova, Guergana",
    booktitle = "Proceedings of the 4th Clinical Natural Language Processing Workshop",
    month = jul,
    year = "2022",
    address = "Seattle, WA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.clinicalnlp-1.11",
    doi = "10.18653/v1/2022.clinicalnlp-1.11",
    pages = "103--108",
    keywords = {workshop paper, timelines, information extraction, health applications},
}


@inproceedings{dligach-etal-2022-exploring,
    title = "Exploring Text Representations for Generative Temporal Relation Extraction",
    author = "Dligach, Dmitriy  and
      Bethard, Steven  and
      Miller, Timothy  and
      Savova, Guergana",
    booktitle = "Proceedings of the 4th Clinical Natural Language Processing Workshop",
    month = jul,
    year = "2022",
    address = "Seattle, WA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.clinicalnlp-1.12",
    doi = "10.18653/v1/2022.clinicalnlp-1.12",
    pages = "109--113",
    keywords = {workshop paper, timelines, information extraction, health applications},
}


@inproceedings{culnan-etal-2022-exploring,
    title = "Exploring transformers and time lag features for predicting changes in mood over time",
    author = "Culnan, John  and
      Romero Diaz, Damian  and
      Bethard, Steven",
    booktitle = "Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology",
    month = jul,
    year = "2022",
    address = "Seattle, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.clpsych-1.21",
    doi = "10.18653/v1/2022.clpsych-1.21",
    pages = "226--231",
    keywords = {shared task paper, social media, health applications},
}


@inproceedings{tasnim-etal-2022-team,
    title = "{TEAM}-Atreides at {S}em{E}val-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in {B}angla",
    author = "Tasnim, Nazia  and
      Shihab, Md. Istiak  and
      Shahriyar Sushmit, Asif  and
      Bethard, Steven  and
      Sadeque, Farig",
    booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
    month = jul,
    year = "2022",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.semeval-1.209",
    doi = "10.18653/v1/2022.semeval-1.209",
    pages = "1524--1530",
    keywords = {shared task paper, information extraction},
}


@inproceedings{song-bethard-2022-ua,
    title = "{UA}-{KO} at {S}em{E}val-2022 Task 11: Data Augmentation and Ensembles for {K}orean Named Entity Recognition",
    author = "Song, Hyunju  and
      Bethard, Steven",
    booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
    month = jul,
    year = "2022",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.semeval-1.222",
    doi = "10.18653/v1/2022.semeval-1.222",
    pages = "1608--1612",
    keywords = {shared task paper, information extraction},
}


@inproceedings{surdeanu-etal-2022-taxonomy,
    title = "Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction",
    author = "Surdeanu, Mihai  and
      Hungerford, John  and
      Chan, Yee Seng  and
      MacBride, Jessica  and
      Gyori, Benjamin  and
      Zupon, Andrew  and
      Tang, Zheng  and
      Qiu, Haoling  and
      Min, Bonan  and
      Zverev, Yan  and
      Hilverman, Caitlin  and
      Thomas, Max  and
      Andrews, Walter  and
      Alcock, Keith  and
      Zhang, Zeyu  and
      Reynolds, Michael  and
      Bethard, Steven  and
      Sharp, Rebecca  and
      Laparra, Egoitz",
    booktitle = "Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing",
    month = jul,
    year = "2022",
    address = "Seattle, Washington",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.hcinlp-1.1",
    doi = "10.18653/v1/2022.hcinlp-1.1",
    pages = "1--10",
    keywords = {demo paper},
}


@inproceedings{su-etal-2022-comparison,
    title = "A Comparison of Strategies for Source-Free Domain Adaptation",
    author = "Su, Xin  and
      Zhao, Yiyun  and
      Bethard, Steven",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.acl-long.572",
    pages = "8352--8367",
    keywords = {domain adaptation},
    note = {[Acceptance rate 21\%]},
}


@inproceedings{bertsch-bethard-2021-detection,
    title = "Detection of Puffery on the {E}nglish {W}ikipedia",
    author = "Bertsch, Amanda  and
      Bethard, Steven",
    booktitle = "Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)",
    month = nov,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.wnut-1.36",
    pages = "329--333",
    keywords = {social media, workshop paper},
}


@inproceedings{su-bethard-2021-simplifying,
    title = "Simplifying annotation of intersections in time normalization annotation: exploring syntactic and semantic validation",
    author = "Su, Peiwen  and
      Bethard, Steven",
    booktitle = "Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.law-1.11",
    pages = "106--111",
    keywords = {timelines, annotation, workshop paper},
}


@inproceedings{zhao-etal-2021-pretrained,
    title = "Do pretrained transformers infer telicity like humans?",
    author = "Zhao, Yiyun  and
      Ngui, Jian Gang  and
      Hall Hartley, Lucy  and
      Bethard, Steven",
    booktitle = "Proceedings of the 25th Conference on Computational Natural Language Learning",
    month = nov,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.conll-1.6",
    pages = "72--81",
    keywords = {timelines, machine learning},
    note = {[Acceptance rate 23\%]},
}


@article{rains-etal-2021-hcr,
    author = {Rains, Stephen A and Shmargad, Yotam and Coe, Kevin and Kenski, Kate and Bethard, Steven},
    title = {Assessing the Russian Troll Efforts to Sow Discord on Twitter during the 2016 U.S. Election},
    journal = {Human Communication Research},
    volume = {47},
    number = {4},
    pages = {477-486},
    year = {2021},
    month = {08},
    issn = {0360-3989},
    doi = {10.1093/hcr/hqab009},
    url = {https://doi.org/10.1093/hcr/hqab009},
    keywords = {social media},
}


@inproceedings{laparra-etal-2021-semeval,
    title = "{S}em{E}val-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing",
    author = {Laparra, Egoitz  and
      Su, Xin  and
      Zhao, Yiyun  and
      Uzuner, {\"O}zlem  and
      Miller, Timothy  and
      Bethard, Steven},
    booktitle = "Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.semeval-1.42",
    doi = "10.18653/v1/2021.semeval-1.42",
    pages = "348--356",
    keywords = {domain adaptation, negation, timelines, information extraction, health applications, shared task paper},
}


@inproceedings{su-etal-2021-university,
    title = "The {U}niversity of {A}rizona at {S}em{E}val-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation",
    author = "Su, Xin  and
      Zhao, Yiyun  and
      Bethard, Steven",
    booktitle = "Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.semeval-1.56",
    doi = "10.18653/v1/2021.semeval-1.56",
    pages = "458--466",
    keywords = {domain adaptation, negation, timelines, information extraction, health applications, shared task paper},
}


@inproceedings{xu-bethard-2021-triplet,
    title = "Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization",
    author = "Xu, Dongfang  and
      Bethard, Steven",
    booktitle = "Proceedings of the 20th Workshop on Biomedical Language Processing",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.bionlp-1.2",
    pages = "11--22",
    keywords = {term normalization, workshop paper},
}


@inproceedings{lin-etal-2021-entitybert,
    title = "{E}ntity{BERT}: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain",
    author = "Lin, Chen  and
      Miller, Timothy  and
      Dligach, Dmitriy  and
      Bethard, Steven  and
      Savova, Guergana",
    booktitle = "Proceedings of the 20th Workshop on Biomedical Language Processing",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.bionlp-1.21",
    pages = "191--201",
    keywords = {timelines, information extraction, health applications, workshop paper},
}


@inproceedings{liang-etal-2021-explainable,
    title = "Explainable Multi-hop Verbal Reasoning Through Internal Monologue",
    author = "Liang, Zhengzhong  and
      Bethard, Steven  and
      Surdeanu, Mihai",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.naacl-main.97",
    pages = "1225--1250",
    note = {[Acceptance rate 26\%]},
    keywords = {question answering},
}


@inproceedings{yadav-etal-2021-want,
    title = "If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering",
    author = "Yadav, Vikas  and
      Bethard, Steven  and
      Surdeanu, Mihai",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.naacl-main.363",
    pages = "4571--4581",
    note = {[Acceptance rate 26\%]},
    keywords = {question answering},
}


@proceedings{naacl-2021-2021,
    title = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    editor = "Toutanova, Kristina  and
      Rumshisky, Anna  and
      Zettlemoyer, Luke  and
      Hakkani-Tur, Dilek  and
      Beltagy, Iz  and
      Bethard, Steven  and
      Cotterell, Ryan  and
      Chakraborty, Tanmoy  and
      Zhou, Yichao",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.naacl-main.0",
}


@inproceedings{miller-etal-2021-domain,
    title = "Domain adaptation in practice: Lessons from a real-world information extraction pipeline",
    author = "Miller, Timothy  and
      Laparra, Egoitz  and
      Bethard, Steven",
    booktitle = "Proceedings of the Second Workshop on Domain Adaptation for NLP",
    month = apr,
    year = "2021",
    address = "Kyiv, Ukraine",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.adaptnlp-1.11",
    pages = "105--110",
    keywords = {domain adaptation, information extraction, workshop paper},
}


@article{gonzalez-lopez-2021-PLN,
	author = {Samuel Gonz\'{a}lez-L\'{o}pez and Steven Bethard and Francisca Cecilia Encinas Orozco and Adri\i{a}n Pastor L\'{o}pez-Monroy},
	title = {Consumer Cynicism Identification for Spanish Reviews using a Spanish Transformer Model},
	journal = {Procesamiento del Lenguaje Natural},
	volume = {66},
	number = {0},
	year = {2021},
	issn = {1989-7553},
	url = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6327},
	pages = {111--120},
	keywords = {social media},
}


@inproceedings{kim-bethard-2020-ttui,
    title = "{TTUI} at {S}em{E}val-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles",
    author = "Kim, Moonsung  and
      Bethard, Steven",
    booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
    month = dec,
    year = "2020",
    address = "Barcelona (online)",
    publisher = "International Committee for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.semeval-1.240",
    pages = "1829--1834",
    keywords = {shared task paper, social media},
}


@inproceedings{laparra-bethard-2020-dataset,
    title = "A Dataset and Evaluation Framework for Complex Geographical Description Parsing",
    author = "Laparra, Egoitz  and
      Bethard, Steven",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.coling-main.81",
    pages = "936--948",
    keywords = {locations, information extraction},
    note = {[Acceptance rate 35\%]},
}


@proceedings{clinicalnlp-2020-clinical,
    title = "Proceedings of the 3rd Clinical Natural Language Processing Workshop",
    editor = "Rumshisky, Anna  and
      Roberts, Kirk  and
      Bethard, Steven  and
      Naumann, Tristan",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.clinicalnlp-1.0",
    keywords = {health applications},
}


@inproceedings{wright-bettner-etal-2020-defining,
    title = "Defining and Learning Refined Temporal Relations in the Clinical Narrative",
    author = "Wright-Bettner, Kristin  and
      Lin, Chen  and
      Miller, Timothy  and
      Bethard, Steven  and
      Dligach, Dmitriy  and
      Palmer, Martha  and
      Martin, James H.  and
      Savova, Guergana",
    booktitle = "Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.louhi-1.12",
    doi = "10.18653/v1/2020.louhi-1.12",
    pages = "104--114",
    keywords = {annotation, timelines, information extraction, workshop paper},
}


@inproceedings{ozler-etal-2020-fine,
    title = "Fine-tuning for multi-domain and multi-label uncivil language detection",
    author = "Ozler, Kadir Bulut  and
      Kenski, Kate  and
      Rains, Steve  and
      Shmargad, Yotam  and
      Coe, Kevin  and
      Bethard, Steven",
    booktitle = "Proceedings of the Fourth Workshop on Online Abuse and Harms",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.alw-1.4",
    doi = "10.18653/v1/2020.alw-1.4",
    pages = "28--33",
    keywords = {social media, workshop paper},
}


@inproceedings{10.1145/3397271.3401311,
author = {Yadav, Vikas and Bethard, Steven and Surdeanu, Mihai},
title = {Having Your Cake and Eating It Too: Training Neural Retrieval for Language Inference without Losing Lexical Match},
year = {2020},
month = {7},
isbn = {9781450380164},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3397271.3401311},
doi = {10.1145/3397271.3401311},
booktitle = {Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages = {1625--1628},
numpages = {4},
location = {Virtual Event, China},
series = {SIGIR '20},
keywords = {question answering},
note = {[Acceptance rate 26\%]},
}


@article{xu-etal-2020-unified,
    author = {Xu, Dongfang and Gopale, Manoj and Zhang, Jiacheng and Brown, Kris and Begoli, Edmon and Bethard, Steven},
    title = {Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization},
    journal = {Journal of the American Medical Informatics Association},
    year = {2020},
    month = {07},
    issn = {1527-974X},
    doi = {10.1093/jamia/ocaa080},
    url = {https://doi.org/10.1093/jamia/ocaa080},
    keywords = {health applications, term normalization},
}


@inproceedings{lin-etal-2020-bert,
    title = "A {BERT}-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction",
    author = "Lin, Chen  and
      Miller, Timothy  and
      Dligach, Dmitriy  and
      Sadeque, Farig  and
      Bethard, Steven  and
      Savova, Guergana",
    booktitle = "Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.bionlp-1.7",
    pages = "70--75",
    keywords = {workshop paper, health applications, timelines, information extraction},
}


@inproceedings{gonzalez-lopez-etal-2020-assisting,
    title = "Assisting Undergraduate Students in Writing {S}panish Methodology Sections",
    author = "Gonz{\'a}lez-L{\'o}pez, Samuel  and
      Bethard, Steven  and
      Lopez-Lopez, Aurelio",
    booktitle = "Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications",
    month = jul,
    year = "2020",
    address = "Seattle, WA, USA - Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.bea-1.11",
    pages = "115--123",
    keywords = {educational applications, workshop paper},
}


@inproceedings{xu-etal-2020-generate,
    title = "A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization",
    author = "Xu, Dongfang  and
      Zhang, Zeyu  and
      Bethard, Steven",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.748",
    pages = "8452--8464",
    note = {[Acceptance rate 23\%]},
    keywords = {health applications, term normalization},
}


@inproceedings{zhao-bethard-2020-berts,
    title = "How does {BERT}{'}s attention change when you fine-tune? An analysis methodology and a case study in negation scope",
    author = "Zhao, Yiyun  and
      Bethard, Steven",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.429",
    pages = "4729--4747",
    note = {[Acceptance rate 23\%]},
    keywords = {negation, machine learning},
}


@inproceedings{yadav-etal-2020-unsupervised,
    title = "Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering",
    author = "Yadav, Vikas  and
      Bethard, Steven  and
      Surdeanu, Mihai",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.414",
    pages = "4514--4525",
    note = {[Acceptance rate 23\%]},
    keywords = {question answering},
}


@article{laparra-bethard-miller:2020:JAMIAOpen,
    author = {Laparra, Egoitz and Bethard, Steven and Miller, Timothy A},
    title = "{Rethinking domain adaptation for machine learning over clinical language}",
    journal = {JAMIA Open},
    year = {2020},
    month = {04},
    issn = {2574-2531},
    doi = {10.1093/jamiaopen/ooaa010},
    url = {https://doi.org/10.1093/jamiaopen/ooaa010},
    keywords = {domain adaptation, health applications},
}


@article{chen-etal:2020:JAMIA,
    author = {Lin, Chen and Bethard, Steven and Dligach, Dmitriy and Sadeque, Farig and Savova, Guergana and Miller, Timothy A},
    title = "{Does BERT need domain adaptation for clinical negation detection?}",
    journal = {Journal of the American Medical Informatics Association},
    volume = {27},
    number = {4},
    pages = {584-591},
    year = {2020},
    month = {02},
    issn = {1527-974X},
    doi = {10.1093/jamia/ocaa001},
    url = {https://doi.org/10.1093/jamia/ocaa001},
    keywords = {negation, health applications},
}


@inproceedings{yadav-etal-2019-quick,
    title = "Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering",
    author = "Yadav, Vikas  and
      Bethard, Steven  and
      Surdeanu, Mihai",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/D19-1260",
    doi = "10.18653/v1/D19-1260",
    pages = "2578--2589",
    note = {[Acceptance rate 23\%]},
    keywords = {question answering},
}


@proceedings{W19-19:2019,
  editor    = {Anna Rumshisky  and  Kirk Roberts  and  Steven Bethard  and  Tristan Naumann},
  title     = {Proceedings of the 2nd Clinical Natural Language Processing Workshop},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  url       = {http://www.aclweb.org/anthology/W19-19},
  keywords = {health applications},
}


@InProceedings{bethard-EtAl:2019:W19-25,
  author    = {Bethard, Steven  and  Laparra, Egoitz  and  Wang, Sophia  and  Zhao, Yiyun  and  Al-Ghezi, Ragheb  and  Lien, Aaron  and  L\'{o}pez-Hoffman, Laura},
  title     = {Inferring missing metadata from environmental policy texts},
  booktitle = {Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {46--51},
  url       = {http://www.aclweb.org/anthology/W19-2506},
  keywords = {workshop paper, environmental policy},
}


@InProceedings{lin-EtAl:2019:W19-19,
  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Bethard, Steven  and  Savova, Guergana},
  title     = {A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction},
  booktitle = {Proceedings of the 2nd Clinical Natural Language Processing Workshop},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {65--71},
  url       = {http://www.aclweb.org/anthology/W19-1908},
  keywords = {workshop paper, health applications, timelines, information extraction},
}


@InProceedings{yadav-EtAl:2019:S19-2,
  author    = {Yadav, Vikas  and  Laparra, Egoitz  and  Wang, Ti-Tai  and  Surdeanu, Mihai  and  Bethard, Steven},
  title     = {University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {1319--1323},
  url       = {http://www.aclweb.org/anthology/S19-2232},
  keywords = {shared task paper, locations, information extraction},
}


@InProceedings{sadeque-EtAl:2019:S19-1,
  author    = {Sadeque, Farig  and  Rains, Stephen  and  Shmargad, Yotam  and  Kenski, Kate  and  Coe, Kevin  and  Bethard, Steven},
  title     = {Incivility Detection in Online Comments},
  booktitle = {Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, Minnesota},
  publisher = {Association for Computational Linguistics},
  pages     = {283--291},
  url       = {http://www.aclweb.org/anthology/S19-1031},
  note = {[Acceptance rate 33\%]},
  keywords = {social media},
}


@InProceedings{xu-laparra-bethard:2019:S19-1,
  author    = {Xu, Dongfang  and  Laparra, Egoitz  and  Bethard, Steven},
  title     = {Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis},
  booktitle = {Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, Minnesota},
  publisher = {Association for Computational Linguistics},
  pages     = {68--74},
  url       = {http://www.aclweb.org/anthology/S19-1008},
  note = {[Acceptance rate 33\%]},
  keywords = {timelines, information extraction},
}


@InProceedings{sharp-EtAl:2019:N19-4,
  author    = {Sharp, Rebecca  and  Pyarelal, Adarsh  and  Gyori, Benjamin  and  Alcock, Keith  and  Laparra, Egoitz  and  Valenzuela-Esc\'{a}rcega, Marco A.  and  Nagesh, Ajay  and  Yadav, Vikas  and  Bachman, John  and  Tang, Zheng  and  Lent, Heather  and  Luo, Fan  and  Paul, Mithun  and  Bethard, Steven  and  Barnard, Kobus  and  Morrison, Clayton  and  Surdeanu, Mihai},
  title     = {Eidos, INDRA, \& Delphi: From Free Text to Executable Causal Models},
  booktitle = {Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, Minnesota},
  publisher = {Association for Computational Linguistics},
  pages     = {42--47},
  url       = {http://www.aclweb.org/anthology/N19-4008},
  keywords = {demo paper, causal relations, timelines, locations, information extraction},
}


@InProceedings{yadav-bethard-surdeanu:2019:N19-1,
  author    = {Yadav, Vikas  and  Bethard, Steven  and  Surdeanu, Mihai},
  title     = {Alignment over Heterogeneous Embeddings for Question Answering},
  booktitle = {Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, Minnesota},
  publisher = {Association for Computational Linguistics},
  pages     = {2681--2691},
  url       = {http://www.aclweb.org/anthology/N19-1274},
  note = {[Acceptance rate 26\%]},
  keywords = {question answering},
}


@article{gonzalez-lopez-EtAl:2019:RCS,
  author    = {Samuel Gonz{\'{a}}lez L{\'{o}}pez and
               Aurelio L{\'{o}}pez{-}L{\'{o}}pez and
               Steven Bethard and
               Jes{\'{u}}s Miguel Garc{\'{i}}a Gorrostieta},
  title     = {A Model for Identifying Steps in Undergraduate Thesis Methodology},
  journal   = {Res. Comput. Sci.},
  volume    = {148},
  number    = {5},
  pages     = {17--24},
  year      = {2019},
  url       = {http://rcs.cic.ipn.mx/2019\_148\_5/A\%20Model\%20for\%20Identifying\%20Steps\%20in\%20Undergraduate\%20Thesis\%20Methodology.pdf},
  keywords = {educational applications},
}


@InProceedings{lin-EtAl:2018:LOUHI,
  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Amiri, Hadi  and  Bethard, Steven  and  Savova, Guergana},
  title     = {Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction},
  booktitle = {Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis},
  month     = {10},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {165--176},
  url       = {http://www.aclweb.org/anthology/W18-5619},
  keywords = {timelines, information extraction, health applications, workshop paper},
}


@InProceedings{yadav-bethard:2018:C18-1,
  author    = {Yadav, Vikas  and  Bethard, Steven},
  title     = {A Survey on Recent Advances in Named Entity Recognition from Deep Learning models},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {8},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {2145--2158},
  url       = {http://www.aclweb.org/anthology/C18-1182},
  note = {[Acceptance rate 37\%]},
  keywords = {information extraction},
}


@proceedings{apidianaki-etal:2018:SemEval,
  editor    = {Marianna Apidianaki  and  Saif M. Mohammad  and  Jonathan May  and  Ekaterina Shutova  and  Steven Bethard  and  Marine Carpuat},
  title     = {Proceedings of The 12th International Workshop on Semantic Evaluation (SemEval-2018)},
  month     = {6},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  url       = {http://www.aclweb.org/anthology/S18-1},
}


@InProceedings{laparra-etal:2018:SemEval,
  author    = {Laparra, Egoitz  and  Xu, Dongfang  and  Elsayed, Ahmed  and  Bethard, Steven  and  Palmer, Martha},
  title     = {SemEval 2018 Task 6: Parsing Time Normalizations},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {6},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {88--96},
  url       = {http://www.aclweb.org/anthology/S18-1011},
  keywords  = {timelines, information extraction, shared task paper},
}


@InProceedings{yadav-sharp-bethard:2018:SEM,
  author    = {Yadav, Vikas  and  Sharp, Rebecca  and  Bethard, Steven},
  title     = {Deep Affix Features Improve Neural Named Entity Recognizers},
  booktitle = {Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics},
  month     = {6},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {167--172},
  url       = {http://www.aclweb.org/anthology/S18-2021},
  note = {[Acceptance rate 29\%]},
  keywords  = {information extraction},
}


@article{laparra-xu-bethard:2018:TACL,
        author = {Laparra, Egoitz  and Xu, Dongfang  and Bethard, Steven },
        title = {From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations},
        journal = {Transactions of the Association for Computational Linguistics},
        volume = {6},
        year = {2018},
        month = {5},
        day = {31},
        keywords = {timelines, information extraction},
        issn = {2307-387X},
        url = {https://transacl.org/ojs/index.php/tacl/article/view/1318},
        pages = {343--356}
}


@InProceedings{xu-yadav-bethard:2018:MADE,
  title = 	 {UArizona at the MADE1.0 NLP Challenge},
  author = 	 {Dongfang Xu and Vikas Yadav and Steven Bethard},
  booktitle = 	 {Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection},
  pages = 	 {57--65},
  year = 	 {2018},
  editor = 	 {Feifan Liu and Abhyuday Jagannatha and Hong Yu},
  volume = 	 {90},
  series = 	 {Proceedings of Machine Learning Research},
  address = 	 {},
  month = 	 {5},
  url = 	 {http://proceedings.mlr.press/v90/xu18a.html},
  keywords = {semantic relations, information extraction, health applications, shared task paper},
}


@inproceedings{sadeque-xu-bethard:2018:WSDM,
 author = {Sadeque, Farig and Xu, Dongfang and Bethard, Steven},
 title = {Measuring the Latency of Depression Detection in Social Media},
 booktitle = {Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining},
 series = {WSDM '18},
 year = {2018},
 month = {2},
 isbn = {978-1-4503-5581-0},
 location = {Marina Del Rey, CA, USA},
 pages = {495--503},
 numpages = {9},
 url = {http://doi.acm.org/10.1145/3159652.3159725},
 doi = {10.1145/3159652.3159725},
 acmid = {3159725},
 publisher = {ACM},
 address = {New York, NY, USA},
  note = {[Acceptance rate 16\%]},
 keywords = {health applications, social media},
}


@Article{osborne-etal:2018:JBS,
author="Osborne, John D.
and Neu, Matthew B.
and Danila, Maria I.
and Solorio, Thamar
and Bethard, Steven J.",
title="CUILESS2016: a clinical corpus applying compositional normalization of text mentions",
journal="Journal of Biomedical Semantics",
year="2018",
month="1",
day="10",
volume="9",
number="1",
pages="2",
issn="2041-1480",
doi="10.1186/s13326-017-0173-6",
url="https://doi.org/10.1186/s13326-017-0173-6",
keywords = {annotation, term normalization, health applications},
}


@InProceedings{do-bethard-moens:2017:I17-1,
  author    = {Do, Quynh Ngoc Thi  and  Bethard, Steven  and  Moens, Marie-Francine},
  title     = {Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {11},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {90--99},
  url       = {http://www.aclweb.org/anthology/I17-1010},
  note = {[Acceptance rate 31\%]},
  keywords = {semantic relations},
}


@InProceedings{sadeque-xu-bethard:2017:CLEF,
  author = {Farig Sadeque and Dongfang Xu and Steven Bethard},
  title = {{UArizona} at the {CLEF eRisk} 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection},
  booktitle = {CEUR workshop proceedings: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum},
  address = {Dublin, Ireland},
  month = {9},
  year = {2017},
  url = {http://ceur-ws.org/Vol-1866/paper_58.pdf},
  keywords = {health applications, social media, shared task paper},
}


@INPROCEEDINGS{pradhan-zhang-bethard:2017:IRI,
author = {Ligaj Pradhan and Chengcui Zhang and Steven Bethard},
booktitle = {2017 IEEE International Conference on Information Reuse and Integration (IRI)},
title = {Infusing Latent User-Concerns from User Reviews into Collaborative Filtering},
year = {2017},
volume = {},
number = {},
pages = {471-477},
doi = {10.1109/IRI.2017.24},
url = {http://doi.ieeecomputersociety.org/10.1109/IRI.2017.24},
month={8},
note = {[Acceptance rate 29\%]},
keywords = {information retrieval, recommender systems},
}


@InProceedings{lin-EtAl:2017:BioNLP17,
  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Bethard, Steven  and  Savova, Guergana},
  title     = {Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks},
  booktitle = {BioNLP 2017},
  month     = {8},
  year      = {2017},
  address   = {Vancouver, Canada,},
  publisher = {Association for Computational Linguistics},
  pages     = {322--327},
  url       = {http://www.aclweb.org/anthology/W17-2341},
  keywords = {timelines, information extraction, health applications, workshop paper},
}


@InProceedings{miller-EtAl:2017:BioNLP17,
  author    = {Miller, Timothy  and  Bethard, Steven  and  Amiri, Hadi  and  Savova, Guergana},
  title     = {Unsupervised Domain Adaptation for Clinical Negation Detection},
  booktitle = {BioNLP 2017},
  month     = {8},
  year      = {2017},
  address   = {Vancouver, Canada,},
  publisher = {Association for Computational Linguistics},
  pages     = {165--170},
  url       = {http://www.aclweb.org/anthology/W17-2320},
  keywords = {negation, domain adaptation, health applications, workshop paper},
}


@InProceedings{bethard-EtAl:2017:SemEval,
  author    = {Bethard, Steven  and  Savova, Guergana  and  Palmer, Martha  and  Pustejovsky, James},
  title     = {SemEval-2017 Task 12: Clinical TempEval},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {8},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {565--572},
  url       = {http://www.aclweb.org/anthology/S17-2093},
  keywords = {timelines, information extraction, health applications, domain adaptation, shared task paper},
}


@proceedings{SemEval:2017,
  editor    = {Steven Bethard  and  Marine Carpuat  and  Marianna Apidianaki  and  Saif M. Mohammad  and  Daniel Cer  and  David Jurgens},
  title     = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {8},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  url       = {http://www.aclweb.org/anthology/S17-2},
}


@InProceedings{viani-EtAl:2017:AIME,
author="Viani, Natalia
and Miller, Timothy A.
and Dligach, Dmitriy
and Bethard, Steven
and Napolitano, Carlo
and Priori, Silvia G.
and Bellazzi, Riccardo
and Sacchi, Lucia
and Savova, Guergana K.",
editor="ten Teije, Annette
and Popow, Christian
and Holmes, John H.
and Sacchi, Lucia",
title="Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports",
bookTitle="Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings",
year="2017",
publisher="Springer International Publishing",
address="Cham",
pages="198--202",
isbn="978-3-319-59758-4",
doi="10.1007/978-3-319-59758-4_21",
url="https://doi.org/10.1007/978-3-319-59758-4_21",
note = {[Acceptance rate 39\%]},
keywords = {timelines, information extraction, health applications},
}


@article{miller-EtAl:2017:JBI,
title = "Towards generalizable entity-centric clinical coreference resolution ",
journal = "Journal of Biomedical Informatics ",
volume = "69",
number = "",
pages = "251 - 258",
year = "2017",
note = "",
issn = "1532-0464",
doi = "https://doi.org/10.1016/j.jbi.2017.04.015",
url = "http://www.sciencedirect.com/science/article/pii/S1532046417300850",
author = "Timothy Miller and Dmitriy Dligach and Steven Bethard and Chen Lin and Guergana Savova",
keywords = {coreference, health applications},
}


@InProceedings{dligach-EtAl:2017:EACLshort,
  author    = {Dligach, Dmitriy  and  Miller, Timothy  and  Lin, Chen  and  Bethard, Steven  and  Savova, Guergana},
  title     = {Neural Temporal Relation Extraction},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {4},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {746--751},
  url       = {http://www.aclweb.org/anthology/E17-2118},
  note = {[Acceptance rate 24\%]},
  keywords = {timelines, information extraction, health applications},
}


@article{pradhan2016extracting,
  title={Extracting Hierarchy of Coherent User-Concerns to Discover Intricate User Behavior from User Reviews},
  author={Pradhan, Ligaj and Zhang, Chengcui and Bethard, Steven},
  journal={International Journal of Multimedia Data Engineering and Management (IJMDEM)},
  volume={7},
  number={4},
  pages={63--80},
  year={2016},
  publisher={IGI Global},
  url={https://dx.doi.org/10.4018/IJMDEM.2016100104},
  keywords={information retrieval, recommender systems},
}


@proceedings{ClinicalNLP:2016,
  editor    = {Anna Rumshisky  and  Kirk Roberts  and  Steven Bethard  and  Tristan Naumann},
  title     = {Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP)},
  month     = {12},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  url       = {http://aclweb.org/anthology/W16-42},
  keywords = {health applications},
}


@InProceedings{do-bethard-moens:2016:COLING,
  author    = {Do, Quynh Ngoc Thi  and  Bethard, Steven  and  Moens, Marie-Francine},
  title     = {Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {12},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1275--1284},
  url       = {http://aclweb.org/anthology/C16-1121},
  note = {[Acceptance rate 32\%]},
  keywords = {semantic relations, domain adaptation},
}


@InProceedings{sadeque-EtAl:2016:SocialNLP,
  author    = {Sadeque, Farig  and  Pedersen, Ted  and  Solorio, Thamar  and  Shrestha, Prasha  and  Rey-Villamizar, Nicolas  and  Bethard, Steven},
  title     = {Why Do They Leave: Modeling Participation in Online Depression Forums},
  booktitle = {Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media},
  month     = {11},
  year      = {2016},
  address   = {Austin, TX, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {14--19},
  url       = {http://aclweb.org/anthology/W16-6203},
  keywords = {health applications, social media, workshop paper},
}


@InProceedings{reyvillamizar-EtAl:2016:LOUHI,
  author    = {Rey-Villamizar, Nicolas  and  Shrestha, Prasha  and  Sadeque, Farig  and  Bethard, Steven  and  Pedersen, Ted  and  Mukherjee, Arjun  and  Solorio, Thamar},
  title     = {Analysis of Anxious Word Usage on Online Health Forums},
  booktitle = {Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis},
  month     = {11},
  year      = {2016},
  address   = {Auxtin, TX},
  publisher = {Association for Computational Linguistics},
  pages     = {37--42},
  url       = {http://aclweb.org/anthology/W16-6105},
  keywords = {health applications, social media, workshop paper},
}


@InProceedings{do-bethard-moens:2016:UBLP,
  author    = {Do, Quynh Ngoc Thi  and  Bethard, Steven  and  Moens, Marie-Francine},
  title     = {Visualizing the Content of a Children's Story in a Virtual World: Lessons Learned},
  booktitle = {Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods},
  month     = {11},
  year      = {2016},
  address   = {Austin, TX},
  publisher = {Association for Computational Linguistics},
  pages     = {39--42},
  url       = {http://aclweb.org/anthology/W16-6009},
  keywords = {coreference, semantic relations, educational applications, workshop paper},
}


@InProceedings{lin-EtAl:2016:BioNLP16,
  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Bethard, Steven  and  Savova, Guergana},
  title     = {Improving Temporal Relation Extraction with Training Instance Augmentation},
  booktitle = {Proceedings of the 15th Workshop on Biomedical Natural Language Processing},
  month     = {8},
  year      = {2016},
  address   = {Berlin, Germany},
  publisher = {Association for Computational Linguistics},
  pages     = {108--113},
  url       = {http://anthology.aclweb.org/W16-2914},
  keywords = {timelines, information extraction, health applications, workshop paper},
}


@InProceedings{sapkota-EtAl:2016:P16-1,
  author    = {Sapkota, Upendra  and  Solorio, Thamar  and  Montes, Manuel  and  Bethard, Steven},
  title     = {Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning},
  booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {8},
  year      = {2016},
  address   = {Berlin, Germany},
  publisher = {Association for Computational Linguistics},
  pages     = {2226--2235},
  url       = {http://www.aclweb.org/anthology/P16-1210},
  note = {[Acceptance rate 28\%]},
  keywords = {authorship analysis, domain adaptation},
}
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In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \n  \n  <div class=\"bibbase_group_whole\" id=\"group_2025\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2025')\"\n      onkeypress=\"toggleGroup('group_2025')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2025</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"rezaei-blanco-makinglanguagemodelsrobustagainstnegation-2025\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/2502.07717\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rezaei-blanco-makinglanguagemodelsrobustagainstnegation-2025', 'https://arxiv.org/pdf/2502.07717', event);\">\n    Making Language Models Robust Against Negation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rezaei, M.;  and Blanco, E.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2025 Conference of the Nations of America Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)</i>, Albuquerque, New Mexico, USA, April 2025. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/2502.07717\"\n     onclick=\"log_download('rezaei-blanco-makinglanguagemodelsrobustagainstnegation-2025', 'https://arxiv.org/pdf/2502.07717', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Making Language Models Robust Against Negation [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rezaei-blanco-makinglanguagemodelsrobustagainstnegation-2025\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rezaei-blanco-makinglanguagemodelsrobustagainstnegation-2025')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{rezaei-blanco-2024-paraphrasing,\n  author    = {Rezaei, MohammadHossein  and  Blanco, Eduardo},\n  title     = {Making Language Models Robust Against Negation},\n  booktitle      = {Proceedings of the 2025 Conference of the Nations of America Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},\n  month          = {April},\n  year           = {2025},\n  address        = {Albuquerque, New Mexico, USA},\n  publisher      = {Association for Computational Linguistics},\n  pages     = {},\n  abstract  = {Negation has been a long-standing challenge for language models. Previous studies have shown that they struggle with negation in many natural language understanding tasks. In this work, we propose a self-supervised method to make language models more robust against negation. We introduce a novel task, Next Sentence Polarity Prediction (NSPP), and a variation of the Next Sentence Prediction (NSP) task. We show that RoBERTa and BERT further pre-trained on our tasks outperform the off-the-shelf transformer models on eight negation-related benchmarks. Most notably, the pretrainings yield between 1.8% and 9.1% improvement on CondaQA, a large question-answering corpus requiring reasoning over negation.},\n  url       = {https://arxiv.org/pdf/2502.07717}\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Negation has been a long-standing challenge for language models. Previous studies have shown that they struggle with negation in many natural language understanding tasks. In this work, we propose a self-supervised method to make language models more robust against negation. We introduce a novel task, Next Sentence Polarity Prediction (NSPP), and a variation of the Next Sentence Prediction (NSP) task. We show that RoBERTa and BERT further pre-trained on our tasks outperform the off-the-shelf transformer models on eight negation-related benchmarks. Most notably, the pretrainings yield between 1.8% and 9.1% improvement on CondaQA, a large question-answering corpus requiring reasoning over negation.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"negru-vacareanu-lemnaru-surdeanu-potolea-morphnliastepwiseapproachtonaturallanguageinferenceusingtextmorphing-2025\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/2502.09567\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'negru-vacareanu-lemnaru-surdeanu-potolea-morphnliastepwiseapproachtonaturallanguageinferenceusingtextmorphing-2025', 'https://arxiv.org/abs/2502.09567', event);\">\n    MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Negru, V.; Vacareanu, R.; Lemnaru, C.; Surdeanu, M.;  and Potolea, R.\n</span>\n\n  \n\n</span>\n\n  In <i>Findings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)</i>,  2025. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/2502.09567\"\n     onclick=\"log_download('negru-vacareanu-lemnaru-surdeanu-potolea-morphnliastepwiseapproachtonaturallanguageinferenceusingtextmorphing-2025', 'https://arxiv.org/abs/2502.09567', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/negru-vacareanu-lemnaru-surdeanu-potolea-morphnliastepwiseapproachtonaturallanguageinferenceusingtextmorphing-2025\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('negru-vacareanu-lemnaru-surdeanu-potolea-morphnliastepwiseapproachtonaturallanguageinferenceusingtextmorphing-2025')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{negru-et-al-naacl2025-morphnli,\n    title = &quot;MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing&quot;,\n    author = &quot;Vlad Negru and Robert Vacareanu and Camelia Lemnaru and Mihai Surdeanu and Rodica Potolea&quot;,\n    booktitle = &quot;Findings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)&quot;,\n    year = &quot;2025&quot;,\n    url = &quot;https://arxiv.org/abs/2502.09567&quot;,\n    abstract = &quot;We introduce MorphNLI, a modular step-by-step approach to natural language inference (NLI). When classifying the premise-hypothesis pairs into {entailment, contradiction, neutral}, we use a language model to generate the necessary edits to incrementally transform (i.e., morph) the premise into the hypothesis. Then, using an off-the-shelf NLI model we track how the entailment progresses with these atomic changes, aggregating these intermediate labels into a final output. We demonstrate the advantages of our proposed method particularly in realistic cross-domain settings, where our method always outperforms strong baselines with improvements up to 12.6% (relative). Further, our proposed approach is explainable as the atomic edits can be used to understand the overall NLI label.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We introduce MorphNLI, a modular step-by-step approach to natural language inference (NLI). When classifying the premise-hypothesis pairs into entailment, contradiction, neutral, we use a language model to generate the necessary edits to incrementally transform (i.e., morph) the premise into the hypothesis. Then, using an off-the-shelf NLI model we track how the entailment progresses with these atomic changes, aggregating these intermediate labels into a final output. We demonstrate the advantages of our proposed method particularly in realistic cross-domain settings, where our method always outperforms strong baselines with improvements up to 12.6% (relative). Further, our proposed approach is explainable as the atomic edits can be used to understand the overall NLI label.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2024\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2024')\"\n      onkeypress=\"toggleGroup('group_2024')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2024</span>\n      <span class=\"bibbase_group_count\">\n        \n        (29)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"noriegaatala-vacareanu-ashton-pyarelal-morrison-surdeanu-whenandwheredidithappenanencoderdecodermodeltoidentifyscenariocontext-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.findings-emnlp.219/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'noriegaatala-vacareanu-ashton-pyarelal-morrison-surdeanu-whenandwheredidithappenanencoderdecodermodeltoidentifyscenariocontext-2024', 'https://aclanthology.org/2024.findings-emnlp.219/', event);\">\n    When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Noriega-Atala, E.; Vacareanu, R.; Ashton, S. T.; Pyarelal, A.; Morrison, C. T;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In Al-Onaizan, Y.; Bansal, M.;  and Chen, Y., editor(s), <i>Findings of the Association for Computational Linguistics: EMNLP 2024</i>, pages 3821–3829, Miami, Florida, USA, November 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.findings-emnlp.219/\"\n     onclick=\"log_download('noriegaatala-vacareanu-ashton-pyarelal-morrison-surdeanu-whenandwheredidithappenanencoderdecodermodeltoidentifyscenariocontext-2024', 'https://aclanthology.org/2024.findings-emnlp.219/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2024.findings-emnlp.219\"\n     onclick=\"log_download('noriegaatala-vacareanu-ashton-pyarelal-morrison-surdeanu-whenandwheredidithappenanencoderdecodermodeltoidentifyscenariocontext-2024', 'http://doi.org/10.18653/v1/2024.findings-emnlp.219', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/noriegaatala-vacareanu-ashton-pyarelal-morrison-surdeanu-whenandwheredidithappenanencoderdecodermodeltoidentifyscenariocontext-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('noriegaatala-vacareanu-ashton-pyarelal-morrison-surdeanu-whenandwheredidithappenanencoderdecodermodeltoidentifyscenariocontext-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{noriega-atala-etal-2024-happen,\n    title = &quot;When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context&quot;,\n    author = &quot;Noriega-Atala, Enrique  and\n      Vacareanu, Robert  and\n      Ashton, Salena Torres  and\n      Pyarelal, Adarsh  and\n      Morrison, Clayton T  and\n      Surdeanu, Mihai&quot;,\n    editor = &quot;Al-Onaizan, Yaser  and\n      Bansal, Mohit  and\n      Chen, Yun-Nung&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2024&quot;,\n    month = nov,\n    year = &quot;2024&quot;,\n    address = &quot;Miami, Florida, USA&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.findings-emnlp.219/&quot;,\n    doi = &quot;10.18653/v1/2024.findings-emnlp.219&quot;,\n    pages = &quot;3821--3829&quot;,\n    abstract = &quot;We introduce a neural architecture finetuned for the task of scenario context generation: The relevant location and time of an event or entity mentioned in text. Contextualizing information extraction helps to scope the validity of automated finings when aggregating them as knowledge graphs. Our approach uses a high-quality curated dataset of time and location annotations in a corpus of epidemiology papers to train an encoder-decoder architecture. We also explored the use of data augmentation techniques during training. Our findings suggest that a relatively small fine-tuned encoder-decoder model performs better than out-of-the-box LLMs and semantic role labeling parsers to accurate predict the relevant scenario information of a particular entity or event.&quot;\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We introduce a neural architecture finetuned for the task of scenario context generation: The relevant location and time of an event or entity mentioned in text. Contextualizing information extraction helps to scope the validity of automated finings when aggregating them as knowledge graphs. Our approach uses a high-quality curated dataset of time and location annotations in a corpus of epidemiology papers to train an encoder-decoder architecture. We also explored the use of data augmentation techniques during training. Our findings suggest that a relatively small fine-tuned encoder-decoder model performs better than out-of-the-box LLMs and semantic role labeling parsers to accurate predict the relevant scenario information of a particular entity or event.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cooper-narnoli-surdeanu-findingawolfinsheepsclothingcombatingadversarialtexttoimagepromptswithtextsummarization-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/2412.12212\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cooper-narnoli-surdeanu-findingawolfinsheepsclothingcombatingadversarialtexttoimagepromptswithtextsummarization-2024', 'https://arxiv.org/abs/2412.12212', event);\">\n    Finding a Wolf in Sheep's Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cooper, P.; Narnoli, H.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n   2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/2412.12212\"\n     onclick=\"log_download('cooper-narnoli-surdeanu-findingawolfinsheepsclothingcombatingadversarialtexttoimagepromptswithtextsummarization-2024', 'https://arxiv.org/abs/2412.12212', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Finding a Wolf in Sheep&#x27;s Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cooper-narnoli-surdeanu-findingawolfinsheepsclothingcombatingadversarialtexttoimagepromptswithtextsummarization-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cooper-narnoli-surdeanu-findingawolfinsheepsclothingcombatingadversarialtexttoimagepromptswithtextsummarization-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@misc{cooper2024findingwolfsheepsclothing,\n      title={Finding a Wolf in Sheep&#x27;s Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization}, \n      author={Portia Cooper and Harshita Narnoli and Mihai Surdeanu},\n      year={2024},\n      eprint={2412.12212},\n      archivePrefix={arXiv},\n      primaryClass={cs.CR},\n      url={https://arxiv.org/abs/2412.12212}, \n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kwak-morrison-bambauer-surdeanu-classifyfirstandthenextractpromptchainingtechniqueforinformationextraction-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://clulab.org/papers/nllp2024_kwak-et-al.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kwak-morrison-bambauer-surdeanu-classifyfirstandthenextractpromptchainingtechniqueforinformationextraction-2024', 'https://clulab.org/papers/nllp2024_kwak-et-al.pdf', event);\">\n    Classify First, and Then Extract: Prompt Chaining Technique for Information Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kwak, A.; Morrison, C.; Bambauer, D.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Natural Legal Language Processing Workshop 2024</i>, November 2024. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://clulab.org/papers/nllp2024_kwak-et-al.pdf\"\n     onclick=\"log_download('kwak-morrison-bambauer-surdeanu-classifyfirstandthenextractpromptchainingtechniqueforinformationextraction-2024', 'https://clulab.org/papers/nllp2024_kwak-et-al.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Classify First, and Then Extract: Prompt Chaining Technique for Information Extraction [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kwak-morrison-bambauer-surdeanu-classifyfirstandthenextractpromptchainingtechniqueforinformationextraction-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kwak-morrison-bambauer-surdeanu-classifyfirstandthenextractpromptchainingtechniqueforinformationextraction-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kwak-et-al-nllp2024-error-analysis,\n    title = &quot;Classify First, and Then Extract: Prompt Chaining Technique for Information Extraction&quot;,\n    author = &quot;Alice Kwak and Clayton Morrison and Derek Bambauer and Mihai Surdeanu&quot;,\n    booktitle = &quot;Proceedings of the Natural Legal Language Processing Workshop 2024&quot;,\n    month = nov,\n    year = &quot;2024&quot;,\n    url = &quot;https://clulab.org/papers/nllp2024_kwak-et-al.pdf&quot;,\n    abstract = &quot;This work presents a new task-aware prompt design and example retrieval approach for information extraction (IE) using a prompt chaining technique. Our approach divides IE tasks into two steps: (1) text classification to understand what information (e.g., entity or event types) is contained in the underlying text and (2) information extraction for the identified types. Initially, we use a large language model (LLM) in a few-shot setting to classify the contained information. The classification output is used to select the relevant prompt and retrieve the examples relevant to the input text. Finally, we ask a LLM to do the information extraction with the generated prompt. By evaluating our approach on legal IE tasks with two different LLMs, we demonstrate that the prompt chaining technique improves the LLM’s overall performance in a few-shot setting when compared to the baseline in which examples from all possible classes are included in the prompt. Our approach can be used in a low-resource setting as it does not require a large amount of training data. Also, it can be easily adapted to many different IE tasks by simply adjusting the prompts. Lastly, it provides a cost benefit by reducing the number of tokens in the prompt.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This work presents a new task-aware prompt design and example retrieval approach for information extraction (IE) using a prompt chaining technique. Our approach divides IE tasks into two steps: (1) text classification to understand what information (e.g., entity or event types) is contained in the underlying text and (2) information extraction for the identified types. Initially, we use a large language model (LLM) in a few-shot setting to classify the contained information. The classification output is used to select the relevant prompt and retrieve the examples relevant to the input text. Finally, we ask a LLM to do the information extraction with the generated prompt. By evaluating our approach on legal IE tasks with two different LLMs, we demonstrate that the prompt chaining technique improves the LLM’s overall performance in a few-shot setting when compared to the baseline in which examples from all possible classes are included in the prompt. Our approach can be used in a low-resource setting as it does not require a large amount of training data. Also, it can be easily adapted to many different IE tasks by simply adjusting the prompts. Lastly, it provides a cost benefit by reducing the number of tokens in the prompt.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"singh-blanco-learningtogeneraterulesforrealisticfewshotrelationclassificationanencoderdecoderapproach-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Singh, M.;  and Blanco, E.\n</span>\n\n  \n\n</span>\n\n  In <i>Findings of the Association for Computational Linguistics: EMNLP 2024</i>, Miami, USA and virtual meeting, November 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/singh-blanco-learningtogeneraterulesforrealisticfewshotrelationclassificationanencoderdecoderapproach-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('singh-blanco-learningtogeneraterulesforrealisticfewshotrelationclassificationanencoderdecoderapproach-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{singh-2024-learning,\n    title = &quot;Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach&quot;,\n    author = &quot;Singh, Mayank and Blanco, Eduardo&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2024&quot;,\n    month = nov,\n    year = &quot;2024&quot;,\n    address = &quot;Miami, USA and virtual meeting&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    abstract = &quot;We propose a neuro-symbolic approach for realistic few-shot relation classification via rules. Instead of building neural models to predict relations, we design them to output straightforward rules that can be used to extract relations. The rules are generated using custom T5-style Encoder-Decoder Language Models. Crucially, our rules are fully interpretable and pliable (i.e., humans can easily modify them to boost performance). Through a combination of rules generated by these models along with a very effective, novel baseline, we demonstrate a few-shot relation-classification performance that is comparable to or stronger than the state of the art on the Few-Shot TACRED and NYT29 benchmarks while increasing interpretability and maintaining pliability.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We propose a neuro-symbolic approach for realistic few-shot relation classification via rules. Instead of building neural models to predict relations, we design them to output straightforward rules that can be used to extract relations. The rules are generated using custom T5-style Encoder-Decoder Language Models. Crucially, our rules are fully interpretable and pliable (i.e., humans can easily modify them to boost performance). Through a combination of rules generated by these models along with a very effective, novel baseline, we demonstrate a few-shot relation-classification performance that is comparable to or stronger than the state of the art on the Few-Shot TACRED and NYT29 benchmarks while increasing interpretability and maintaining pliability.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rezaei-blanco-paraphrasinginaffirmativetermsimprovesnegationunderstanding-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.acl-short.55/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rezaei-blanco-paraphrasinginaffirmativetermsimprovesnegationunderstanding-2024', 'https://aclanthology.org/2024.acl-short.55/', event);\">\n    Paraphrasing in Affirmative Terms Improves Negation Understanding.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rezaei, M.;  and Blanco, E.\n</span>\n\n  \n\n</span>\n\n  In Ku, L.; Martins, A.;  and Srikumar, V., editor(s), <i>Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)</i>, pages 602–615, Bangkok, Thailand, August 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.acl-short.55/\"\n     onclick=\"log_download('rezaei-blanco-paraphrasinginaffirmativetermsimprovesnegationunderstanding-2024', 'https://aclanthology.org/2024.acl-short.55/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Paraphrasing in Affirmative Terms Improves Negation Understanding [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2024.acl-short.55\"\n     onclick=\"log_download('rezaei-blanco-paraphrasinginaffirmativetermsimprovesnegationunderstanding-2024', 'http://doi.org/10.18653/v1/2024.acl-short.55', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rezaei-blanco-paraphrasinginaffirmativetermsimprovesnegationunderstanding-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rezaei-blanco-paraphrasinginaffirmativetermsimprovesnegationunderstanding-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{rezaei-blanco-2024-paraphrasing,\n    title = &quot;Paraphrasing in Affirmative Terms Improves Negation Understanding&quot;,\n    author = &quot;Rezaei, MohammadHossein  and\n      Blanco, Eduardo&quot;,\n    editor = &quot;Ku, Lun-Wei  and\n      Martins, Andre  and\n      Srikumar, Vivek&quot;,\n    booktitle = &quot;Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)&quot;,\n    month = aug,\n    year = &quot;2024&quot;,\n    address = &quot;Bangkok, Thailand&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.acl-short.55/&quot;,\n    doi = &quot;10.18653/v1/2024.acl-short.55&quot;,\n    pages = &quot;602--615&quot;,\n    abstract = &quot;Negation is a common linguistic phenomenon. Yet language models face challenges with negation in many natural language understanding tasks such as question answering and natural language inference. In this paper, we experiment with seamless strategies that incorporate affirmative interpretations (i.e., paraphrases without negation) to make models more robust against negation. Crucially, our affirmative interpretations are obtained automatically. We show improvements with CondaQA, a large corpus requiring reasoning with negation, and five natural language understanding tasks.&quot;\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Negation is a common linguistic phenomenon. Yet language models face challenges with negation in many natural language understanding tasks such as question answering and natural language inference. In this paper, we experiment with seamless strategies that incorporate affirmative interpretations (i.e., paraphrases without negation) to make models more robust against negation. Crucially, our affirmative interpretations are obtained automatically. We show improvements with CondaQA, a large corpus requiring reasoning with negation, and five natural language understanding tasks.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sanayei-singh-rezaei-bethard-mariaatsemeval2024task6hallucinationdetectionthroughllmsmnliandcosinesimilarity-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.semeval-1.225\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sanayei-singh-rezaei-bethard-mariaatsemeval2024task6hallucinationdetectionthroughllmsmnliandcosinesimilarity-2024', 'https://aclanthology.org/2024.semeval-1.225', event);\">\n    MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sanayei, R.; Singh, A.; Rezaei, M.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In Ojha, A. K.; Doğruöz, A. S.; Tayyar Madabushi, H.; Da San Martino, G.; Rosenthal, S.;  and Rosá, A., editor(s), <i>Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)</i>, pages 1584–1588, Mexico City, Mexico, June 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.semeval-1.225\"\n     onclick=\"log_download('sanayei-singh-rezaei-bethard-mariaatsemeval2024task6hallucinationdetectionthroughllmsmnliandcosinesimilarity-2024', 'https://aclanthology.org/2024.semeval-1.225', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sanayei-singh-rezaei-bethard-mariaatsemeval2024task6hallucinationdetectionthroughllmsmnliandcosinesimilarity-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sanayei-singh-rezaei-bethard-mariaatsemeval2024task6hallucinationdetectionthroughllmsmnliandcosinesimilarity-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{sanayei-etal-2024-maria,\n    title = &quot;{MAR}i{A} at {S}em{E}val 2024 Task-6: Hallucination Detection Through {LLM}s, {MNLI}, and Cosine similarity&quot;,\n    author = &quot;Sanayei, Reza  and\n      Singh, Abhyuday  and\n      Rezaei, Mohammadhossein  and\n      Bethard, Steven&quot;,\n    editor = {Ojha, Atul Kr.  and\n      Do{\\u{g}}ru{\\&quot;o}z, A. Seza  and\n      Tayyar Madabushi, Harish  and\n      Da San Martino, Giovanni  and\n      Rosenthal, Sara  and\n      Ros{\\&#x27;a}, Aiala},\n    booktitle = &quot;Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.semeval-1.225&quot;,\n    pages = &quot;1584--1588&quot;,\n    abstract = &quot;The advent of large language models (LLMs) has revolutionized Natural Language Generation (NLG), offering unmatched text generation capabilities. However, this progress introduces significant challenges, notably hallucinations{---}semantically incorrect yet fluent outputs. This phenomenon undermines content reliability, as traditional detection systems focus more on fluency than accuracy, posing a risk of misinformation spread.Our study addresses these issues by proposing a unified strategy for detecting hallucinations in neural model-generated text, focusing on the SHROOM task in SemEval 2024. We employ diverse methodologies to identify output divergence from the source content. We utilized Sentence Transformers to measure cosine similarity between source-hypothesis and source-target embeddings, experimented with omitting source content in the cosine similarity computations, and Leveragied LLMs{&#x27;} In-Context Learning with detailed task prompts as our methodologies. The varying performance of our different approaches across the subtasks underscores the complexity of Natural Language Understanding tasks, highlighting the importance of addressing the nuances of semantic correctness in the era of advanced language models.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The advent of large language models (LLMs) has revolutionized Natural Language Generation (NLG), offering unmatched text generation capabilities. However, this progress introduces significant challenges, notably hallucinations—semantically incorrect yet fluent outputs. This phenomenon undermines content reliability, as traditional detection systems focus more on fluency than accuracy, posing a risk of misinformation spread.Our study addresses these issues by proposing a unified strategy for detecting hallucinations in neural model-generated text, focusing on the SHROOM task in SemEval 2024. We employ diverse methodologies to identify output divergence from the source content. We utilized Sentence Transformers to measure cosine similarity between source-hypothesis and source-target embeddings, experimented with omitting source content in the cosine similarity computations, and Leveragied LLMs' In-Context Learning with detailed task prompts as our methodologies. The varying performance of our different approaches across the subtasks underscores the complexity of Natural Language Understanding tasks, highlighting the importance of addressing the nuances of semantic correctness in the era of advanced language models.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rezaei-kwon-sanayei-singh-bethard-clulabuofaatsemeval2024task8detectingmachinegeneratedtextusingtripletlosstrainedtextsimilarityandtextclassification-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.semeval-1.215\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rezaei-kwon-sanayei-singh-bethard-clulabuofaatsemeval2024task8detectingmachinegeneratedtextusingtripletlosstrainedtextsimilarityandtextclassification-2024', 'https://aclanthology.org/2024.semeval-1.215', event);\">\n    CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rezaei, M.; Kwon, Y.; Sanayei, R.; Singh, A.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In Ojha, A. K.; Doğruöz, A. S.; Tayyar Madabushi, H.; Da San Martino, G.; Rosenthal, S.;  and Rosá, A., editor(s), <i>Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)</i>, pages 1498–1504, Mexico City, Mexico, June 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.semeval-1.215\"\n     onclick=\"log_download('rezaei-kwon-sanayei-singh-bethard-clulabuofaatsemeval2024task8detectingmachinegeneratedtextusingtripletlosstrainedtextsimilarityandtextclassification-2024', 'https://aclanthology.org/2024.semeval-1.215', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rezaei-kwon-sanayei-singh-bethard-clulabuofaatsemeval2024task8detectingmachinegeneratedtextusingtripletlosstrainedtextsimilarityandtextclassification-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rezaei-kwon-sanayei-singh-bethard-clulabuofaatsemeval2024task8detectingmachinegeneratedtextusingtripletlosstrainedtextsimilarityandtextclassification-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{rezaei-etal-2024-clulab,\n    title = &quot;{CLUL}ab-{U}of{A} at {S}em{E}val-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification&quot;,\n    author = &quot;Rezaei, Mohammadhossein  and\n      Kwon, Yeaeun  and\n      Sanayei, Reza  and\n      Singh, Abhyuday  and\n      Bethard, Steven&quot;,\n    editor = {Ojha, Atul Kr.  and\n      Do{\\u{g}}ru{\\&quot;o}z, A. Seza  and\n      Tayyar Madabushi, Harish  and\n      Da San Martino, Giovanni  and\n      Rosenthal, Sara  and\n      Ros{\\&#x27;a}, Aiala},\n    booktitle = &quot;Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.semeval-1.215&quot;,\n    pages = &quot;1498--1504&quot;,\n    abstract = &quot;Detecting machine-generated text is a critical task in the era of large language models. In this paper, we present our systems for SemEval-2024 Task 8, which focuses on multi-class classification to discern between human-written and maching-generated texts by five state-of-the-art large language models. We propose three different systems: unsupervised text similarity, triplet-loss-trained text similarity, and text classification. We show that the triplet-loss trained text similarity system outperforms the other systems, achieving 80{\\%} accuracy on the test set and surpassing the baseline model for this subtask. Additionally, our text classification system, which takes into account sentence paraphrases generated by the candidate models, also outperforms the unsupervised text similarity system, achieving 74{\\%} accuracy.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Detecting machine-generated text is a critical task in the era of large language models. In this paper, we present our systems for SemEval-2024 Task 8, which focuses on multi-class classification to discern between human-written and maching-generated texts by five state-of-the-art large language models. We propose three different systems: unsupervised text similarity, triplet-loss-trained text similarity, and text classification. We show that the triplet-loss trained text similarity system outperforms the other systems, achieving 80% accuracy on the test set and surpassing the baseline model for this subtask. Additionally, our text classification system, which takes into account sentence paraphrases generated by the candidate models, also outperforms the unsupervised text similarity system, achieving 74% accuracy.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"dumitru-alexeeva-alcock-ludgate-jeong-abdurahaman-puri-kirchhoff-etal-retrievalaugmentedgenerationofsubjectiveexplanationsforsocioeconomicscenarios-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/naacl-css2024-rag.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'dumitru-alexeeva-alcock-ludgate-jeong-abdurahaman-puri-kirchhoff-etal-retrievalaugmentedgenerationofsubjectiveexplanationsforsocioeconomicscenarios-2024', 'http://clulab.org/papers/naacl-css2024-rag.pdf', event);\">\n    Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Dumitru, R.; Alexeeva, M.; Alcock, K.; Ludgate, N.; Jeong, C.; Abdurahaman, Z. F.; Puri, P.; Kirchhoff, B.; Sadhu, S.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Sixth Workshop on NLP and Computational Social Science (at NAACL) 2024</i>,  2024. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/naacl-css2024-rag.pdf\"\n     onclick=\"log_download('dumitru-alexeeva-alcock-ludgate-jeong-abdurahaman-puri-kirchhoff-etal-retrievalaugmentedgenerationofsubjectiveexplanationsforsocioeconomicscenarios-2024', 'http://clulab.org/papers/naacl-css2024-rag.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/dumitru-alexeeva-alcock-ludgate-jeong-abdurahaman-puri-kirchhoff-etal-retrievalaugmentedgenerationofsubjectiveexplanationsforsocioeconomicscenarios-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('dumitru-alexeeva-alcock-ludgate-jeong-abdurahaman-puri-kirchhoff-etal-retrievalaugmentedgenerationofsubjectiveexplanationsforsocioeconomicscenarios-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{\n  dumitru2024retrieval,\n  title={Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios},\n  author={Dumitru, Razvan-Gabriel and Alexeeva, Maria and Alcock, Keith and Ludgate, Nargiza and Jeong, Cheonkam and Abdurahaman, Zara Fatima and Puri, Prateek and Kirchhoff, Brian and Sadhu, Santadarshan and Surdeanu, Mihai},\n  booktitle={Sixth Workshop on  NLP and Computational Social Science (at NAACL) 2024},\n  year={2024},\n  url={http://clulab.org/papers/naacl-css2024-rag.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"vacareanu-pratik-spiliopoulou-qi-paolini-john-ma-benajiba-etal-generalpurposeverificationforchainofthoughtprompting-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/2405.00204.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'vacareanu-pratik-spiliopoulou-qi-paolini-john-ma-benajiba-etal-generalpurposeverificationforchainofthoughtprompting-2024', 'https://arxiv.org/pdf/2405.00204.pdf', event);\">\n    General Purpose Verification for Chain of Thought Prompting.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Pratik, A.; Spiliopoulou, E.; Qi, Z.; Paolini, G.; John, N. A.; Ma, J.; Benajiba, Y.;  and Ballesteros, M.\n</span>\n\n  \n\n</span>\n\n  <i>ArXiv</i>, abs/2405.00204.  2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/2405.00204.pdf\"\n     onclick=\"log_download('vacareanu-pratik-spiliopoulou-qi-paolini-john-ma-benajiba-etal-generalpurposeverificationforchainofthoughtprompting-2024', 'https://arxiv.org/pdf/2405.00204.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"General Purpose Verification for Chain of Thought Prompting [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-pratik-spiliopoulou-qi-paolini-john-ma-benajiba-etal-generalpurposeverificationforchainofthoughtprompting-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-pratik-spiliopoulou-qi-paolini-john-ma-benajiba-etal-generalpurposeverificationforchainofthoughtprompting-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Vacareanu2024GeneralVerificationLLM,\n  title={General Purpose Verification for Chain of Thought Prompting},\n  author={Robert Vacareanu and Anurag Pratik and Evangelia Spiliopoulou and Zheng Qi and Giovanni Paolini and Neha Anna John and Jie Ma and Yassine Benajiba and Miguel Ballesteros},\n  journal={ArXiv},\n  year={2024},\n  volume={abs/2405.00204},\n  url={https://arxiv.org/pdf/2405.00204.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"vacareanu-negru-suciu-surdeanu-fromwordstonumbersyourlargelanguagemodelissecretlyacapableregressorwhengivenincontextexamples-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/2404.07544.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'vacareanu-negru-suciu-surdeanu-fromwordstonumbersyourlargelanguagemodelissecretlyacapableregressorwhengivenincontextexamples-2024', 'https://arxiv.org/pdf/2404.07544.pdf', event);\">\n    From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Negru, V.; Suciu, V.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  <i>ArXiv</i>, abs/2404.07544.  2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/2404.07544.pdf\"\n     onclick=\"log_download('vacareanu-negru-suciu-surdeanu-fromwordstonumbersyourlargelanguagemodelissecretlyacapableregressorwhengivenincontextexamples-2024', 'https://arxiv.org/pdf/2404.07544.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-negru-suciu-surdeanu-fromwordstonumbersyourlargelanguagemodelissecretlyacapableregressorwhengivenincontextexamples-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-negru-suciu-surdeanu-fromwordstonumbersyourlargelanguagemodelissecretlyacapableregressorwhengivenincontextexamples-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Vacareanu2024LLMsRegression,\n  title={From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples},\n  author={Robert Vacareanu and Vlad-Andrei Negru and Vasile Suciu and Mihai Surdeanu},\n  journal={ArXiv},\n  year={2024},\n  volume={abs/2404.07544},\n  url={https://arxiv.org/pdf/2404.07544.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"vacareanu-alam-islam-riaz-surdeanu-bestofbothworldsapliableandgeneralizableneurosymbolicapproachforrelationclassification-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/2403.03305.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'vacareanu-alam-islam-riaz-surdeanu-bestofbothworldsapliableandgeneralizableneurosymbolicapproachforrelationclassification-2024', 'https://arxiv.org/pdf/2403.03305.pdf', event);\">\n    Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Alam, F.; Islam, M. A.; Riaz, H.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Findings of the Association for Computational Linguistics: NAACL 2024</i>, Mexico City, Mexico, June 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/2403.03305.pdf\"\n     onclick=\"log_download('vacareanu-alam-islam-riaz-surdeanu-bestofbothworldsapliableandgeneralizableneurosymbolicapproachforrelationclassification-2024', 'https://arxiv.org/pdf/2403.03305.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-alam-islam-riaz-surdeanu-bestofbothworldsapliableandgeneralizableneurosymbolicapproachforrelationclassification-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>28 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-alam-islam-riaz-surdeanu-bestofbothworldsapliableandgeneralizableneurosymbolicapproachforrelationclassification-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{vacareanu2024softrules,\n    title = &quot;Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification&quot;,\n    author = &quot;Robert Vacareanu and Fahmida Alam and Md Asiful Islam and Haris Riaz and Mihai Surdeanu&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: NAACL 2024&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://arxiv.org/pdf/2403.03305.pdf&quot;,\n    abstract = &quot;This paper introduces a novel neuro-symbolic architecture for relation classification (RC) that combines rule-based methods with contemporary deep learning techniques. This approach capitalizes on the strengths of both paradigms: the adaptability of rule-based systems and the generalization power of neural networks. Our architecture consists of two components: a declarative rule-based model for transparent classification and a neural component to enhance rule generalizability through semantic text matching. Notably, our semantic matcher is trained in an unsupervised domain-agnostic way, solely with synthetic data. Further, these components are loosely coupled, allowing for rule modifications without retraining the semantic matcher. In our evaluation, we focused on two few-shot relation classification datasets: Few-Shot TACRED and a Few-Shot version of NYT29. We show that our proposed method outperforms previous state-of-the-art models in three out of four settings, despite not seeing any human-annotated training data. Further, we show that our approach remains modular and pliable, i.e., the corresponding rules can be locally modified to improve the overall model. Human interventions to the rules for the TACRED relation \\texttt{org:parents} boost the performance on that relation by as much as 26\\% relative improvement, without negatively impacting the other relations, and without retraining the semantic matching component.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This paper introduces a novel neuro-symbolic architecture for relation classification (RC) that combines rule-based methods with contemporary deep learning techniques. This approach capitalizes on the strengths of both paradigms: the adaptability of rule-based systems and the generalization power of neural networks. Our architecture consists of two components: a declarative rule-based model for transparent classification and a neural component to enhance rule generalizability through semantic text matching. Notably, our semantic matcher is trained in an unsupervised domain-agnostic way, solely with synthetic data. Further, these components are loosely coupled, allowing for rule modifications without retraining the semantic matcher. In our evaluation, we focused on two few-shot relation classification datasets: Few-Shot TACRED and a Few-Shot version of NYT29. We show that our proposed method outperforms previous state-of-the-art models in three out of four settings, despite not seeing any human-annotated training data. Further, we show that our approach remains modular and pliable, i.e., the corresponding rules can be locally modified to improve the overall model. Human interventions to the rules for the TACRED relation \\textttorg:parents boost the performance on that relation by as much as 26% relative improvement, without negatively impacting the other relations, and without retraining the semantic matching component.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"vacareanu-noriegaatala-hahnpowell-valenzuelaescarcega-surdeanu-activelearningdesignchoicesfornerwithtransformers-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Active Learning Design Choices for NER with Transformers.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Noriega-Atala, E.; Hahn-Powell, G.; Valenzuela-Escarcega, M. A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation</i>, Torino, Italy, May 2024. European Language Resources Association\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-noriegaatala-hahnpowell-valenzuelaescarcega-surdeanu-activelearningdesignchoicesfornerwithtransformers-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-noriegaatala-hahnpowell-valenzuelaescarcega-surdeanu-activelearningdesignchoicesfornerwithtransformers-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{vacareanu2024ActiveLearningNER,\n    title = &quot;Active Learning Design Choices for NER with Transformers&quot;,\n    author = &quot;Robert Vacareanu and Enrique Noriega-Atala and Gus Hahn-Powell and Marco A. Valenzuela-Escarcega and Mihai Surdeanu &quot;,\n    booktitle = &quot;Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation&quot;,\n    month = may,\n    year = &quot;2024&quot;,\n    address = &quot;Torino, Italy&quot;,\n    publisher = &quot;European Language Resources Association&quot;,\n    abstract = &quot;We explore multiple important choices that have not been analyzed in conjunction regarding active learning for token classification using transformer networks. These choices are: (i) how to select what to annotate, (ii) decide whether to annotate entire sentences or smaller sentence fragments, (iii) how to train with incomplete annotations at token-level, and (iv) how to select the initial seed dataset. We explore whether annotating at sub-sentence level can translate to an improved downstream performance by considering two different sub-sentence annotation strategies: (i) entity-level, and (ii) token-level. These approaches result in some sentences being only partially annotated. To address this issue, we introduce and evaluate multiple strategies to deal with partially-annotated sentences during the training process. We show that annotating at the sub-sentence level achieves comparable or better performance than sentence-level annotations with a smaller number of annotated tokens. We then explore the extent to which the performance gap remains once accounting for the annotation time and found that both annotation schemes perform similarly.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We explore multiple important choices that have not been analyzed in conjunction regarding active learning for token classification using transformer networks. These choices are: (i) how to select what to annotate, (ii) decide whether to annotate entire sentences or smaller sentence fragments, (iii) how to train with incomplete annotations at token-level, and (iv) how to select the initial seed dataset. We explore whether annotating at sub-sentence level can translate to an improved downstream performance by considering two different sub-sentence annotation strategies: (i) entity-level, and (ii) token-level. These approaches result in some sentences being only partially annotated. To address this issue, we introduce and evaluate multiple strategies to deal with partially-annotated sentences during the training process. We show that annotating at the sub-sentence level achieves comparable or better performance than sentence-level annotations with a smaller number of annotated tokens. We then explore the extent to which the performance gap remains once accounting for the annotation time and found that both annotation schemes perform similarly.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"vacareanu-varia-halder-wang-paolini-annajohn-ballesteros-muresan-aweaksupervisionapproachforfewshotaspectbasedsentimentanalysis-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.eacl-long.167\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'vacareanu-varia-halder-wang-paolini-annajohn-ballesteros-muresan-aweaksupervisionapproachforfewshotaspectbasedsentimentanalysis-2024', 'https://aclanthology.org/2024.eacl-long.167', event);\">\n    A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Varia, S.; Halder, K.; Wang, S.; Paolini, G.; Anna John, N.; Ballesteros, M.;  and Muresan, S.\n</span>\n\n  \n\n</span>\n\n  In Graham, Y.;  and Purver, M., editor(s), <i>Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)</i>, pages 2734–2752, St. Julian's, Malta, March 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.eacl-long.167\"\n     onclick=\"log_download('vacareanu-varia-halder-wang-paolini-annajohn-ballesteros-muresan-aweaksupervisionapproachforfewshotaspectbasedsentimentanalysis-2024', 'https://aclanthology.org/2024.eacl-long.167', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-varia-halder-wang-paolini-annajohn-ballesteros-muresan-aweaksupervisionapproachforfewshotaspectbasedsentimentanalysis-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-varia-halder-wang-paolini-annajohn-ballesteros-muresan-aweaksupervisionapproachforfewshotaspectbasedsentimentanalysis-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{vacareanu-etal-2024-weak,\n    title = &quot;A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis&quot;,\n    author = &quot;Vacareanu, Robert  and\n      Varia, Siddharth  and\n      Halder, Kishaloy  and\n      Wang, Shuai  and\n      Paolini, Giovanni  and\n      Anna John, Neha  and\n      Ballesteros, Miguel  and\n      Muresan, Smaranda&quot;,\n    editor = &quot;Graham, Yvette  and\n      Purver, Matthew&quot;,\n    booktitle = &quot;Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)&quot;,\n    month = mar,\n    year = &quot;2024&quot;,\n    address = &quot;St. Julian{&#x27;}s, Malta&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.eacl-long.167&quot;,\n    pages = &quot;2734--2752&quot;,\n    abstract = &quot;We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks. We propose a pipeline approach to construct a noisy ABSA dataset, and we use it to adapt a pre-trained sequence-to-sequence model to the ABSA tasks. We test the resulting model on three widely used ABSA datasets, before and after fine-tuning. Our proposed method preserves the full fine-tuning performance while showing significant improvements (15.84 absolute F1) in the few-shot learning scenario for the harder tasks. In zero-shot (i.e., without fine-tuning), our method outperforms the previous state of the art on the aspect extraction sentiment classification (AESC) task and is, additionally, capable of performing the harder aspect sentiment triplet extraction (ASTE) task.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks. We propose a pipeline approach to construct a noisy ABSA dataset, and we use it to adapt a pre-trained sequence-to-sequence model to the ABSA tasks. We test the resulting model on three widely used ABSA datasets, before and after fine-tuning. Our proposed method preserves the full fine-tuning performance while showing significant improvements (15.84 absolute F1) in the few-shot learning scenario for the harder tasks. In zero-shot (i.e., without fine-tuning), our method outperforms the previous state of the art on the aspect extraction sentiment classification (AESC) task and is, additionally, capable of performing the harder aspect sentiment triplet extraction (ASTE) task.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-rashid-blanco-interpretinganswerstoyesnoquestionsindialoguesfrommultipledomains-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, Z.; Rashid, F.;  and Blanco, E.\n</span>\n\n  \n\n</span>\n\n  In <i>Findings of the Association for Computational Linguistics: NAACL 2024</i>, Mexico City, Mexico, June 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-rashid-blanco-interpretinganswerstoyesnoquestionsindialoguesfrommultipledomains-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-rashid-blanco-interpretinganswerstoyesnoquestionsindialoguesfrommultipledomains-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{wang2024naaclfindings,\n    title = &quot;Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains&quot;,\n    author = &quot;Wang, Zijie and Rashid, Farzana and Blanco, Eduardo&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: NAACL 2024&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"golchin-surdeanu-timetravelinllmstracingdatacontaminationinlargelanguagemodels-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://openreview.net/forum?id=2Rwq6c3tvr\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'golchin-surdeanu-timetravelinllmstracingdatacontaminationinlargelanguagemodels-2024', 'https://openreview.net/forum?id=2Rwq6c3tvr', event);\">\n    Time Travel in LLMs: Tracing Data Contamination in Large Language Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Golchin, S.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Twelfth International Conference on Learning Representations (ICLR)</i>,  2024. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://openreview.net/forum?id=2Rwq6c3tvr\"\n     onclick=\"log_download('golchin-surdeanu-timetravelinllmstracingdatacontaminationinlargelanguagemodels-2024', 'https://openreview.net/forum?id=2Rwq6c3tvr', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Time Travel in LLMs: Tracing Data Contamination in Large Language Models [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/golchin-surdeanu-timetravelinllmstracingdatacontaminationinlargelanguagemodels-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>7 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('golchin-surdeanu-timetravelinllmstracingdatacontaminationinlargelanguagemodels-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{golchin2024time,\n\ttitle={Time Travel in {LLM}s: Tracing Data Contamination in Large Language Models},\n\tauthor={Shahriar Golchin and Mihai Surdeanu},\n\tbooktitle={Proceedings of the Twelfth International Conference on Learning Representations (ICLR)},\n\tyear={2024},\n\turl={https://openreview.net/forum?id=2Rwq6c3tvr}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"alam-islam-vacareanu-surdeanu-towardsrealisticfewshotrelationextractionanewmetadatasetandevaluation-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://arxiv.org/abs/2404.04445\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'alam-islam-vacareanu-surdeanu-towardsrealisticfewshotrelationextractionanewmetadatasetandevaluation-2024', 'http://arxiv.org/abs/2404.04445', event);\">\n    Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Alam, F.; Islam, M. A.; Vacareanu, R.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Fourteenth Language Resources and Evaluation Conference</i>, Torino, Italy, May 2024. European Language Resources Association\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://arxiv.org/abs/2404.04445\"\n     onclick=\"log_download('alam-islam-vacareanu-surdeanu-towardsrealisticfewshotrelationextractionanewmetadatasetandevaluation-2024', 'http://arxiv.org/abs/2404.04445', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/alam-islam-vacareanu-surdeanu-towardsrealisticfewshotrelationextractionanewmetadatasetandevaluation-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('alam-islam-vacareanu-surdeanu-towardsrealisticfewshotrelationextractionanewmetadatasetandevaluation-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{fahmida2024fs-meta-dataset,\n    title = &quot;Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation&quot;,\n    author = &quot;Fahmida Alam and Md Asiful Islam and Robert Vacareanu and Mihai Surdeanu &quot;,\n    booktitle = &quot;Proceedings of the Fourteenth Language Resources and Evaluation Conference&quot;,\n    month = may,\n    year = &quot;2024&quot;,\n    address = &quot;Torino, Italy&quot;,\n    publisher = &quot;European Language Resources Association&quot;,\n    url = &quot;http://arxiv.org/abs/2404.04445&quot;,\n    abstract = &quot;We introduce a meta dataset for few-shot relation extraction, which includes two datasets derived from existing supervised relation extraction datasets – NYT29 (Takanobu et al. , 2019 ; Nayak and Ng , 2020) and WIKIDATA (Sorokin and Gurevych, 2017) – as well as a few-shot form of the TACRED dataset (Sabo et al., 2021). Importantly, all these few-shot datasets were generated under realistic assumptions such as: the test relations are different from any relations a model might have seen before, limited training data, and a preponderance of candidate relation mentions that do not correspond to any of the relations of interest. Using this large resource, we conduct a comprehensive evaluation of six recent few-shot relation extraction methods, and observe that no method comes out as a clear winner. Further, the overall performance on this task is low, indicating substantial need for future research. We release all versions of the data, i.e., both supervised and few-shot, for future research.&quot;\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We introduce a meta dataset for few-shot relation extraction, which includes two datasets derived from existing supervised relation extraction datasets – NYT29 (Takanobu et al. , 2019 ; Nayak and Ng , 2020) and WIKIDATA (Sorokin and Gurevych, 2017) – as well as a few-shot form of the TACRED dataset (Sabo et al., 2021). Importantly, all these few-shot datasets were generated under realistic assumptions such as: the test relations are different from any relations a model might have seen before, limited training data, and a preponderance of candidate relation mentions that do not correspond to any of the relations of interest. Using this large resource, we conduct a comprehensive evaluation of six recent few-shot relation extraction methods, and observe that no method comes out as a clear winner. Further, the overall performance on this task is low, indicating substantial need for future research. We release all versions of the data, i.e., both supervised and few-shot, for future research.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"riaz-dumitru-surdeanu-ellenextremelylightlysupervisedlearningforefficientnamedentityrecognition-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/2403.17385.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'riaz-dumitru-surdeanu-ellenextremelylightlysupervisedlearningforefficientnamedentityrecognition-2024', 'https://arxiv.org/pdf/2403.17385.pdf', event);\">\n    ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Riaz, H.; Dumitru, R.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation</i>, Torino, Italy, May 2024. European Language Resources Association\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/2403.17385.pdf\"\n     onclick=\"log_download('riaz-dumitru-surdeanu-ellenextremelylightlysupervisedlearningforefficientnamedentityrecognition-2024', 'https://arxiv.org/pdf/2403.17385.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/riaz-dumitru-surdeanu-ellenextremelylightlysupervisedlearningforefficientnamedentityrecognition-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('riaz-dumitru-surdeanu-ellenextremelylightlysupervisedlearningforefficientnamedentityrecognition-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{riaz2024ellen,\n    title = &quot;ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition&quot;,\n    author = &quot;Haris Riaz and Razvan-Gabriel Dumitru and Mihai Surdeanu&quot;,\n    booktitle = &quot;Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation&quot;,\n    month = may,\n    year = &quot;2024&quot;,\n    address = &quot;Torino, Italy&quot;,\n    publisher = &quot;European Language Resources Association&quot;,\n    url = &quot;https://arxiv.org/pdf/2403.17385.pdf&quot;,\n    abstract = &quot;In this work, we revisit the problem of semi-supervised named entity recognition (NER) focusing on extremely light supervision, consisting of a lexicon containing only 10 examples per class. We introduce ELLEN, a simple, fully modular, neuro-symbolic method that blends fine-tuned language models with linguistic rules. These rules include insights such as &#x27;&#x27;One Sense Per Discourse&#x27;&#x27;, using a Masked Language Model as an unsupervised NER, leveraging part-of-speech tags to identify and eliminate unlabeled entities as false negatives, and other intuitions about classifier confidence scores in local and global context. ELLEN achieves very strong performance on the CoNLL-2003 dataset when using the minimal supervision from the lexicon above. It also outperforms most existing (and considerably more complex) semi-supervised NER methods under the same supervision settings commonly used in the literature (i.e., 5% of the training data). Further, we evaluate our CoNLL-2003 model in a zero-shot scenario on WNUT-17 where we find that it outperforms GPT-3.5 and achieves comparable performance to GPT-4. In a zero-shot setting, ELLEN also achieves over 75% of the performance of a strong, fully supervised model trained on gold data. Our code is available at: https://github.com/hriaz17/ELLEN&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this work, we revisit the problem of semi-supervised named entity recognition (NER) focusing on extremely light supervision, consisting of a lexicon containing only 10 examples per class. We introduce ELLEN, a simple, fully modular, neuro-symbolic method that blends fine-tuned language models with linguistic rules. These rules include insights such as ''One Sense Per Discourse'', using a Masked Language Model as an unsupervised NER, leveraging part-of-speech tags to identify and eliminate unlabeled entities as false negatives, and other intuitions about classifier confidence scores in local and global context. ELLEN achieves very strong performance on the CoNLL-2003 dataset when using the minimal supervision from the lexicon above. It also outperforms most existing (and considerably more complex) semi-supervised NER methods under the same supervision settings commonly used in the literature (i.e., 5% of the training data). Further, we evaluate our CoNLL-2003 model in a zero-shot scenario on WNUT-17 where we find that it outperforms GPT-3.5 and achieves comparable performance to GPT-4. In a zero-shot setting, ELLEN also achieves over 75% of the performance of a strong, fully supervised model trained on gold data. Our code is available at: https://github.com/hriaz17/ELLEN\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"anaissy-suntwal-surdeanu-vesic-onlearningbipolargradualargumentationsemanticswithneuralnetworks-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://clulab.org/papers/icaart2024.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'anaissy-suntwal-surdeanu-vesic-onlearningbipolargradualargumentationsemanticswithneuralnetworks-2024', 'https://clulab.org/papers/icaart2024.pdf', event);\">\n    On Learning Bipolar Gradual Argumentation Semantics with Neural Networks.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Anaissy, C. A.; Suntwal, S.; Surdeanu, M.;  and Vesic, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART)</i>,  2024. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://clulab.org/papers/icaart2024.pdf\"\n     onclick=\"log_download('anaissy-suntwal-surdeanu-vesic-onlearningbipolargradualargumentationsemanticswithneuralnetworks-2024', 'https://clulab.org/papers/icaart2024.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"On Learning Bipolar Gradual Argumentation Semantics with Neural Networks [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/anaissy-suntwal-surdeanu-vesic-onlearningbipolargradualargumentationsemanticswithneuralnetworks-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('anaissy-suntwal-surdeanu-vesic-onlearningbipolargradualargumentationsemanticswithneuralnetworks-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{anaissy-icaart2024,\n    title = &quot;On Learning Bipolar Gradual Argumentation Semantics with Neural Networks&quot;,\n    author = &quot;Caren Al Anaissy and Sandeep Suntwal and Mihai Surdeanu and Srdjan Vesic&quot;,\n    booktitle = &quot;Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART)&quot;,\n    year = &quot;2024&quot;,\n    url = &quot;https://clulab.org/papers/icaart2024.pdf&quot;,\n    abstract = &quot;Computational argumentation has evolved as a key area in artificial intelligence, used to analyze aspects of thinking, making decisions, and conversing. As a result, it is currently employed in a variety of real-world contexts, from legal reasoning to intelligence analysis. An argumentation framework is modelled as a graph where the nodes represent arguments and the edges of the graph represent relations (i.e., supports, attacks) between nodes. In this work, we investigate the ability of neural network methods to learn a gradual bipolar argumentation semantics, which allows for both supports and attacks. We begin by calculating the acceptability degrees for graph nodes. These scores are generated using Quantitative Argumentation Debate (QuAD) argumentation semantics. We apply this approach to two benchmark datasets: Twelve Angry Men and Debate- pedia. Using this data, we train and evaluate the performance of three benchmark architectures: Multilayer Perceptron (MLP), Graph Convolution Network (GCN), and Graph Attention Network (GAT) to learn the acceptability degree scores produced by the QuAD semantics. Our results show that these neural network methods can learn bipolar gradual argumentation semantics. The models trained on GCN architecture perform better than the other two architectures underscoring the importance of modelling argumentation graphs explicitly.&quot;\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Computational argumentation has evolved as a key area in artificial intelligence, used to analyze aspects of thinking, making decisions, and conversing. As a result, it is currently employed in a variety of real-world contexts, from legal reasoning to intelligence analysis. An argumentation framework is modelled as a graph where the nodes represent arguments and the edges of the graph represent relations (i.e., supports, attacks) between nodes. In this work, we investigate the ability of neural network methods to learn a gradual bipolar argumentation semantics, which allows for both supports and attacks. We begin by calculating the acceptability degrees for graph nodes. These scores are generated using Quantitative Argumentation Debate (QuAD) argumentation semantics. We apply this approach to two benchmark datasets: Twelve Angry Men and Debate- pedia. Using this data, we train and evaluate the performance of three benchmark architectures: Multilayer Perceptron (MLP), Graph Convolution Network (GCN), and Graph Attention Network (GAT) to learn the acceptability degree scores produced by the QuAD semantics. Our results show that these neural network methods can learn bipolar gradual argumentation semantics. The models trained on GCN architecture perform better than the other two architectures underscoring the importance of modelling argumentation graphs explicitly.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"song-bethard-thomer-metadataenhancementusinglargelanguagemodels-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.sdp-1.14\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'song-bethard-thomer-metadataenhancementusinglargelanguagemodels-2024', 'https://aclanthology.org/2024.sdp-1.14', event);\">\n    Metadata Enhancement Using Large Language Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Song, H.; Bethard, S.;  and Thomer, A.\n</span>\n\n  \n\n</span>\n\n  In Ghosal, T.; Singh, A.; Waard, A.; Mayr, P.; Naik, A.; Weller, O.; Lee, Y.; Shen, S.;  and Qin, Y., editor(s), <i>Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024)</i>, pages 145–154, Bangkok, Thailand, August 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.sdp-1.14\"\n     onclick=\"log_download('song-bethard-thomer-metadataenhancementusinglargelanguagemodels-2024', 'https://aclanthology.org/2024.sdp-1.14', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Metadata Enhancement Using Large Language Models [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/song-bethard-thomer-metadataenhancementusinglargelanguagemodels-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('song-bethard-thomer-metadataenhancementusinglargelanguagemodels-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{song-etal-2024-metadata,\n    title = &quot;Metadata Enhancement Using Large Language Models&quot;,\n    author = &quot;Song, Hyunju  and\n      Bethard, Steven  and\n      Thomer, Andrea&quot;,\n    editor = &quot;Ghosal, Tirthankar  and\n      Singh, Amanpreet  and\n      Waard, Anita  and\n      Mayr, Philipp  and\n      Naik, Aakanksha  and\n      Weller, Orion  and\n      Lee, Yoonjoo  and\n      Shen, Shannon  and\n      Qin, Yanxia&quot;,\n    booktitle = &quot;Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024)&quot;,\n    month = aug,\n    year = &quot;2024&quot;,\n    address = &quot;Bangkok, Thailand&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.sdp-1.14&quot;,\n    pages = &quot;145--154&quot;,\n    keywords = {workshop paper, term normalization},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"crum-bethard-hinokiatsemeval2024task7numeralawareheadlinegenerationenglish-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.semeval-1.6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'crum-bethard-hinokiatsemeval2024task7numeralawareheadlinegenerationenglish-2024', 'https://aclanthology.org/2024.semeval-1.6', event);\">\n    hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English).\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Crum, H.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In Ojha, A. K.; Doğruöz, A. S.; Tayyar Madabushi, H.; Da San Martino, G.; Rosenthal, S.;  and Rosá, A., editor(s), <i>Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)</i>, pages 34–39, Mexico City, Mexico, June 2024. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.semeval-1.6\"\n     onclick=\"log_download('crum-bethard-hinokiatsemeval2024task7numeralawareheadlinegenerationenglish-2024', 'https://aclanthology.org/2024.semeval-1.6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English) [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2024.semeval-1.6\"\n     onclick=\"log_download('crum-bethard-hinokiatsemeval2024task7numeralawareheadlinegenerationenglish-2024', 'http://doi.org/10.18653/v1/2024.semeval-1.6', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/crum-bethard-hinokiatsemeval2024task7numeralawareheadlinegenerationenglish-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('crum-bethard-hinokiatsemeval2024task7numeralawareheadlinegenerationenglish-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{crum-bethard-2024-hinoki,\n    title = &quot;hinoki at {S}em{E}val-2024 Task 7: Numeral-Aware Headline Generation ({E}nglish)&quot;,\n    author = &quot;Crum, Hinoki  and\n      Bethard, Steven&quot;,\n    editor = {Ojha, Atul Kr.  and\n      Do{\\u{g}}ru{\\&quot;o}z, A. Seza  and\n      Tayyar Madabushi, Harish  and\n      Da San Martino, Giovanni  and\n      Rosenthal, Sara  and\n      Ros{\\&#x27;a}, Aiala},\n    booktitle = &quot;Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.semeval-1.6&quot;,\n    doi = &quot;10.18653/v1/2024.semeval-1.6&quot;,\n    pages = &quot;34--39&quot;,\n    keywords = {shared task paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"su-le-bethard-howard-semistructuredchainofthoughtintegratingmultiplesourcesofknowledgeforimprovedlanguagemodelreasoning-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.naacl-long.475\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'su-le-bethard-howard-semistructuredchainofthoughtintegratingmultiplesourcesofknowledgeforimprovedlanguagemodelreasoning-2024', 'https://aclanthology.org/2024.naacl-long.475', event);\">\n    Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Su, X.; Le, T.; Bethard, S.;  and Howard, P.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)</i>, pages 8597–8613, Mexico City, Mexico, June 2024. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 23%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.naacl-long.475\"\n     onclick=\"log_download('su-le-bethard-howard-semistructuredchainofthoughtintegratingmultiplesourcesofknowledgeforimprovedlanguagemodelreasoning-2024', 'https://aclanthology.org/2024.naacl-long.475', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2024.naacl-long.475\"\n     onclick=\"log_download('su-le-bethard-howard-semistructuredchainofthoughtintegratingmultiplesourcesofknowledgeforimprovedlanguagemodelreasoning-2024', 'http://doi.org/10.18653/v1/2024.naacl-long.475', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/su-le-bethard-howard-semistructuredchainofthoughtintegratingmultiplesourcesofknowledgeforimprovedlanguagemodelreasoning-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('su-le-bethard-howard-semistructuredchainofthoughtintegratingmultiplesourcesofknowledgeforimprovedlanguagemodelreasoning-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{su-etal-2024-semi,\n    title = &quot;Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning&quot;,\n    author = &quot;Su, Xin  and\n      Le, Tiep  and\n      Bethard, Steven  and\n      Howard, Phillip&quot;,\n    booktitle = &quot;Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.naacl-long.475&quot;,\n    doi = &quot;10.18653/v1/2024.naacl-long.475&quot;,\n    pages = &quot;8597--8613&quot;,\n    keywords = {question answering},\n    note = {[Acceptance rate 23\\%]},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhang-laparra-bethard-improvingtoponymresolutionbypredictingattributestoconstraingeographicalontologyentries-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.naacl-short.3\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhang-laparra-bethard-improvingtoponymresolutionbypredictingattributestoconstraingeographicalontologyentries-2024', 'https://aclanthology.org/2024.naacl-short.3', event);\">\n    Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhang, Z.; Laparra, E.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)</i>, pages 35–44, Mexico City, Mexico, June 2024. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 23%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.naacl-short.3\"\n     onclick=\"log_download('zhang-laparra-bethard-improvingtoponymresolutionbypredictingattributestoconstraingeographicalontologyentries-2024', 'https://aclanthology.org/2024.naacl-short.3', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2024.naacl-short.3\"\n     onclick=\"log_download('zhang-laparra-bethard-improvingtoponymresolutionbypredictingattributestoconstraingeographicalontologyentries-2024', 'http://doi.org/10.18653/v1/2024.naacl-short.3', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhang-laparra-bethard-improvingtoponymresolutionbypredictingattributestoconstraingeographicalontologyentries-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhang-laparra-bethard-improvingtoponymresolutionbypredictingattributestoconstraingeographicalontologyentries-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{zhang-etal-2024-improving-toponym,\n    title = &quot;Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries&quot;,\n    author = &quot;Zhang, Zeyu  and\n      Laparra, Egoitz  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.naacl-short.3&quot;,\n    doi = &quot;10.18653/v1/2024.naacl-short.3&quot;,\n    pages = &quot;35--44&quot;,\n    keywords = {geospatial normalization, information extraction},\n    note = {[Acceptance rate 23\\%]},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"naumann-benabacha-bethard-roberts-bitterman-proceedingsofthe6thclinicalnaturallanguageprocessingworkshop-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.clinicalnlp-1.0\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'naumann-benabacha-bethard-roberts-bitterman-proceedingsofthe6thclinicalnaturallanguageprocessingworkshop-2024', 'https://aclanthology.org/2024.clinicalnlp-1.0', event);\">\n    Proceedings of the 6th Clinical Natural Language Processing Workshop.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Naumann, T.; Ben Abacha, A.; Bethard, S.; Roberts, K.;  and Bitterman, D.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Mexico City, Mexico, June 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.clinicalnlp-1.0\"\n     onclick=\"log_download('naumann-benabacha-bethard-roberts-bitterman-proceedingsofthe6thclinicalnaturallanguageprocessingworkshop-2024', 'https://aclanthology.org/2024.clinicalnlp-1.0', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the 6th Clinical Natural Language Processing Workshop [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/naumann-benabacha-bethard-roberts-bitterman-proceedingsofthe6thclinicalnaturallanguageprocessingworkshop-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('naumann-benabacha-bethard-roberts-bitterman-proceedingsofthe6thclinicalnaturallanguageprocessingworkshop-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{clinicalnlp-2024-clinical,\n    title = &quot;Proceedings of the 6th Clinical Natural Language Processing Workshop&quot;,\n    editor = &quot;Naumann, Tristan  and\n      Ben Abacha, Asma  and\n      Bethard, Steven  and\n      Roberts, Kirk  and\n      Bitterman, Danielle&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.clinicalnlp-1.0&quot;,\n    keywords = &quot;health&quot;,\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"duh-gomez-bethard-findingsoftheassociationforcomputationallinguisticsnaacl2024-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.findings-naacl.0\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'duh-gomez-bethard-findingsoftheassociationforcomputationallinguisticsnaacl2024-2024', 'https://aclanthology.org/2024.findings-naacl.0', event);\">\n    Findings of the Association for Computational Linguistics: NAACL 2024.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Duh, K.; Gomez, H.;  and Bethard, S.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Mexico City, Mexico, June 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.findings-naacl.0\"\n     onclick=\"log_download('duh-gomez-bethard-findingsoftheassociationforcomputationallinguisticsnaacl2024-2024', 'https://aclanthology.org/2024.findings-naacl.0', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Findings of the Association for Computational Linguistics: NAACL 2024 [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/duh-gomez-bethard-findingsoftheassociationforcomputationallinguisticsnaacl2024-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('duh-gomez-bethard-findingsoftheassociationforcomputationallinguisticsnaacl2024-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{findings-2024-findings-association,\n    title = &quot;Findings of the Association for Computational Linguistics: NAACL 2024&quot;,\n    editor = &quot;Duh, Kevin  and\n      Gomez, Helena  and\n      Bethard, Steven&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.findings-naacl.0&quot;,\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume1longpapers-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.naacl-long.0\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume1longpapers-2024', 'https://aclanthology.org/2024.naacl-long.0', event);\">\n    Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Duh, K.; Gomez, H.;  and Bethard, S.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Mexico City, Mexico, June 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.naacl-long.0\"\n     onclick=\"log_download('duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume1longpapers-2024', 'https://aclanthology.org/2024.naacl-long.0', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume1longpapers-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume1longpapers-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{naacl-2024-long,\n    title = &quot;Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)&quot;,\n    editor = &quot;Duh, Kevin  and\n      Gomez, Helena  and\n      Bethard, Steven&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.naacl-long.0&quot;,\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume2shortpapers-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2024.naacl-short.0\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume2shortpapers-2024', 'https://aclanthology.org/2024.naacl-short.0', event);\">\n    Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers).\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Duh, K.; Gomez, H.;  and Bethard, S.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Mexico City, Mexico, June 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2024.naacl-short.0\"\n     onclick=\"log_download('duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume2shortpapers-2024', 'https://aclanthology.org/2024.naacl-short.0', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume2shortpapers-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('duh-gomez-bethard-proceedingsofthe2024conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologiesvolume2shortpapers-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{naacl-2024-short,\n    title = &quot;Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)&quot;,\n    editor = &quot;Duh, Kevin  and\n      Gomez, Helena  and\n      Bethard, Steven&quot;,\n    month = jun,\n    year = &quot;2024&quot;,\n    address = &quot;Mexico City, Mexico&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2024.naacl-short.0&quot;,\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bethard-machinelearninganddeeplearningalgorithms-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1007/978-3-031-55865-8_3\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bethard-machinelearninganddeeplearningalgorithms-2024', 'https://doi.org/10.1007/978-3-031-55865-8_3', event);\">\n    Machine Learning and Deep Learning Algorithms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In Xu, H.;  and Demner Fushman, D., editor(s), <i>Natural Language Processing in Biomedicine: A Practical Guide</i>, pages 43–76. Springer International Publishing, Cham,  2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1007/978-3-031-55865-8_3\"\n     onclick=\"log_download('bethard-machinelearninganddeeplearningalgorithms-2024', 'https://doi.org/10.1007/978-3-031-55865-8_3', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Machine Learning and Deep Learning Algorithms [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/978-3-031-55865-8_3\"\n     onclick=\"log_download('bethard-machinelearninganddeeplearningalgorithms-2024', 'http://doi.org/10.1007/978-3-031-55865-8_3', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bethard-machinelearninganddeeplearningalgorithms-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>4 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bethard-machinelearninganddeeplearningalgorithms-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@incollection{Bethard2024,\nauthor=&quot;Bethard, Steven&quot;,\neditor=&quot;Xu, Hua\nand Demner Fushman, Dina&quot;,\ntitle=&quot;Machine Learning and Deep Learning Algorithms&quot;,\nbookTitle=&quot;Natural Language Processing in Biomedicine: A Practical Guide&quot;,\nyear=&quot;2024&quot;,\npublisher=&quot;Springer International Publishing&quot;,\naddress=&quot;Cham&quot;,\npages=&quot;43--76&quot;,\nisbn=&quot;978-3-031-55865-8&quot;,\ndoi=&quot;10.1007/978-3-031-55865-8_3&quot;,\nurl=&quot;https://doi.org/10.1007/978-3-031-55865-8_3&quot;,\nkeywords={machine learning},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhang-bethard-asurveyongeocodingalgorithmsanddatasetsfortoponymresolution-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1007/s10579-024-09730-2\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhang-bethard-asurveyongeocodingalgorithmsanddatasetsfortoponymresolution-2024', 'https://doi.org/10.1007/s10579-024-09730-2', event);\">\n    A survey on geocoding: algorithms and datasets for toponym resolution.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhang, Z.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  <i>Language Resources and Evaluation</i>. June 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1007/s10579-024-09730-2\"\n     onclick=\"log_download('zhang-bethard-asurveyongeocodingalgorithmsanddatasetsfortoponymresolution-2024', 'https://doi.org/10.1007/s10579-024-09730-2', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A survey on geocoding: algorithms and datasets for toponym resolution [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s10579-024-09730-2\"\n     onclick=\"log_download('zhang-bethard-asurveyongeocodingalgorithmsanddatasetsfortoponymresolution-2024', 'http://doi.org/10.1007/s10579-024-09730-2', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhang-bethard-asurveyongeocodingalgorithmsanddatasetsfortoponymresolution-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhang-bethard-asurveyongeocodingalgorithmsanddatasetsfortoponymresolution-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{zhang_survey_2024,\n\ttitle = {A survey on geocoding: algorithms and datasets for toponym resolution},\n\tissn = {1574-0218},\n\tshorttitle = {A survey on geocoding},\n\turl = {https://doi.org/10.1007/s10579-024-09730-2},\n\tdoi = {10.1007/s10579-024-09730-2},\n\tlanguage = {en},\n\turldate = {2024-06-12},\n\tjournal = {Language Resources and Evaluation},\n\tauthor = {Zhang, Zeyu and Bethard, Steven},\n\tmonth = jun,\n\tyear = {2024},\n\tkeywords = {Geocoding, Geographical entity normalization, Toponym resolution},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"barbati-rains-kenski-shmargad-bethard-coe-examiningthedynamicsofuncivildiscoursebetweensubnationalpoliticalofficialsandthepublicontwitter-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1080/15205436.2024.2313095\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'barbati-rains-kenski-shmargad-bethard-coe-examiningthedynamicsofuncivildiscoursebetweensubnationalpoliticalofficialsandthepublicontwitter-2024', 'https://doi.org/10.1080/15205436.2024.2313095', event);\">\n    Examining the Dynamics of Uncivil Discourse Between Sub-National Political Officials and the Public on Twitter.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Barbati, J. L.; Rains, S. A.; Kenski, K.; Shmargad, Y.; Bethard, S.;  and Coe, K.\n</span>\n\n  \n\n</span>\n\n  <i>Mass Communication and Society</i>, 0(0): 1-20. February 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1080/15205436.2024.2313095\"\n     onclick=\"log_download('barbati-rains-kenski-shmargad-bethard-coe-examiningthedynamicsofuncivildiscoursebetweensubnationalpoliticalofficialsandthepublicontwitter-2024', 'https://doi.org/10.1080/15205436.2024.2313095', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Examining the Dynamics of Uncivil Discourse Between Sub-National Political Officials and the Public on Twitter [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/barbati-rains-kenski-shmargad-bethard-coe-examiningthedynamicsofuncivildiscoursebetweensubnationalpoliticalofficialsandthepublicontwitter-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('barbati-rains-kenski-shmargad-bethard-coe-examiningthedynamicsofuncivildiscoursebetweensubnationalpoliticalofficialsandthepublicontwitter-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{barbati-etal-2024-examining,\nauthor = {Juliana L. Barbati and Stephen A. Rains and Kate Kenski and Yotam Shmargad and Steven Bethard and Kevin Coe},\ntitle = {Examining the Dynamics of Uncivil Discourse Between Sub-National Political Officials and the Public on Twitter},\njournal = {Mass Communication and Society},\nvolume = {0},\nnumber = {0},\npages = {1-20},\nmonth = feb,\nyear = {2024},\npublisher = {Routledge},\nurl = {https://doi.org/10.1080/15205436.2024.2313095},\nkeywords = {social media, civility},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2023\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2023')\"\n      onkeypress=\"toggleGroup('group_2023')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2023</span>\n      <span class=\"bibbase_group_count\">\n        \n        (24)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"pyarelal-duong-shibu-soares-boyd-khosla-pfeifer-zhang-etal-thetomcatdataset-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://openreview.net/forum?id=ZJWQfgXQb6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'pyarelal-duong-shibu-soares-boyd-khosla-pfeifer-zhang-etal-thetomcatdataset-2023', 'https://openreview.net/forum?id=ZJWQfgXQb6', event);\">\n    The ToMCAT Dataset.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Pyarelal, A.; Duong, E.; Shibu, C. J.; Soares, P.; Boyd, S.; Khosla, P.; Pfeifer, V.; Zhang, D.; Andrews, E. S; Champlin, R.; Raymond, V. P.; Krishnaswamy, M.; Morrison, C.; Butler, E.;  and Barnard, K.\n</span>\n\n  \n\n</span>\n\n  In <i>Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track</i>,  2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://openreview.net/forum?id=ZJWQfgXQb6\"\n     onclick=\"log_download('pyarelal-duong-shibu-soares-boyd-khosla-pfeifer-zhang-etal-thetomcatdataset-2023', 'https://openreview.net/forum?id=ZJWQfgXQb6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"The ToMCAT Dataset [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/pyarelal-duong-shibu-soares-boyd-khosla-pfeifer-zhang-etal-thetomcatdataset-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('pyarelal-duong-shibu-soares-boyd-khosla-pfeifer-zhang-etal-thetomcatdataset-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{\n    pyarelal2023the,\n    title={The To{MCAT} Dataset},\n    author={Adarsh Pyarelal and Eric Duong and Caleb Jones Shibu and Paulo Soares and Savannah Boyd and Payal Khosla and Valeria Pfeifer and Diheng Zhang and Eric S Andrews and Rick Champlin and Vincent Paul Raymond and Meghavarshini Krishnaswamy and Clayton Morrison and Emily Butler and Kobus Barnard},\n    booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},\n    year={2023},\n    url={https://openreview.net/forum?id=ZJWQfgXQb6}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"qamar-pyarelal-huang-whoisspeakingspeakerawaremultipartydialogueactclassification-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.findings-emnlp.678\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'qamar-pyarelal-huang-whoisspeakingspeakerawaremultipartydialogueactclassification-2023', 'https://aclanthology.org/2023.findings-emnlp.678', event);\">\n    Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Qamar, A.; Pyarelal, A.;  and Huang, R.\n</span>\n\n  \n\n</span>\n\n  In Bouamor, H.; Pino, J.;  and Bali, K., editor(s), <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i>, pages 10122–10135, Singapore, December 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.findings-emnlp.678\"\n     onclick=\"log_download('qamar-pyarelal-huang-whoisspeakingspeakerawaremultipartydialogueactclassification-2023', 'https://aclanthology.org/2023.findings-emnlp.678', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/qamar-pyarelal-huang-whoisspeakingspeakerawaremultipartydialogueactclassification-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('qamar-pyarelal-huang-whoisspeakingspeakerawaremultipartydialogueactclassification-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{qamar-etal-2023-speaking,\n    title = &quot;Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification&quot;,\n    author = &quot;Qamar, Ayesha  and\n      Pyarelal, Adarsh  and\n      Huang, Ruihong&quot;,\n    editor = &quot;Bouamor, Houda  and\n      Pino, Juan  and\n      Bali, Kalika&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2023&quot;,\n    month = dec,\n    year = &quot;2023&quot;,\n    address = &quot;Singapore&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.findings-emnlp.678&quot;,\n    pages = &quot;10122--10135&quot;,\n    abstract = &quot;Utterances do not occur in isolation in dialogues; it is essential to have the information of who the speaker of an utterance is to be able to recover the speaker{&#x27;}s intention with respect to the surrounding context. Beyond simply capturing speaker switches, identifying how speakers interact with each other in a dialogue is crucial to understanding conversational flow. This becomes increasingly important and simultaneously difficult to model when more than two interlocutors take part in a conversation. To overcome this challenge, we propose to explicitly add speaker awareness to each utterance representation. To that end, we use a graph neural network to model how each speaker is behaving within the local context of a conversation. The speaker representations learned this way are then used to update their respective utterance representations. We experiment with both multiparticipant and dyadic conversations on the MRDA and SwDA datasets and show the effectiveness of our approach.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Utterances do not occur in isolation in dialogues; it is essential to have the information of who the speaker of an utterance is to be able to recover the speaker's intention with respect to the surrounding context. Beyond simply capturing speaker switches, identifying how speakers interact with each other in a dialogue is crucial to understanding conversational flow. This becomes increasingly important and simultaneously difficult to model when more than two interlocutors take part in a conversation. To overcome this challenge, we propose to explicitly add speaker awareness to each utterance representation. To that end, we use a graph neural network to model how each speaker is behaving within the local context of a conversation. The speaker representations learned this way are then used to update their respective utterance representations. We experiment with both multiparticipant and dyadic conversations on the MRDA and SwDA datasets and show the effectiveness of our approach.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"miah-pyarelal-huang-hierarchicalfusionforonlinemultimodaldialogactclassification-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.findings-emnlp.505\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'miah-pyarelal-huang-hierarchicalfusionforonlinemultimodaldialogactclassification-2023', 'https://aclanthology.org/2023.findings-emnlp.505', event);\">\n    Hierarchical Fusion for Online Multimodal Dialog Act Classification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Miah, M. M. M.; Pyarelal, A.;  and Huang, R.\n</span>\n\n  \n\n</span>\n\n  In Bouamor, H.; Pino, J.;  and Bali, K., editor(s), <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i>, pages 7532–7545, Singapore, December 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.findings-emnlp.505\"\n     onclick=\"log_download('miah-pyarelal-huang-hierarchicalfusionforonlinemultimodaldialogactclassification-2023', 'https://aclanthology.org/2023.findings-emnlp.505', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Hierarchical Fusion for Online Multimodal Dialog Act Classification [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/miah-pyarelal-huang-hierarchicalfusionforonlinemultimodaldialogactclassification-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('miah-pyarelal-huang-hierarchicalfusionforonlinemultimodaldialogactclassification-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{miah-etal-2023-hierarchical,\n    title = &quot;Hierarchical Fusion for Online Multimodal Dialog Act Classification&quot;,\n    author = &quot;Miah, Md Messal Monem  and\n      Pyarelal, Adarsh  and\n      Huang, Ruihong&quot;,\n    editor = &quot;Bouamor, Houda  and\n      Pino, Juan  and\n      Bali, Kalika&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2023&quot;,\n    month = dec,\n    year = &quot;2023&quot;,\n    address = &quot;Singapore&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.findings-emnlp.505&quot;,\n    pages = &quot;7532--7545&quot;,\n    abstract = &quot;We propose a framework for online multimodal dialog act (DA) classification based on raw audio and ASR-generated transcriptions of current and past utterances. Existing multimodal DA classification approaches are limited by ineffective audio modeling and late-stage fusion. We showcase significant improvements in multimodal DA classification by integrating modalities at a more granular level and incorporating recent advancements in large language and audio models for audio feature extraction. We further investigate the effectiveness of self-attention and cross-attention mechanisms in modeling utterances and dialogs for DA classification. We achieve a substantial increase of 3 percentage points in the F1 score relative to current state-of-the-art models on two prominent DA classification datasets, MRDA and EMOTyDA.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We propose a framework for online multimodal dialog act (DA) classification based on raw audio and ASR-generated transcriptions of current and past utterances. Existing multimodal DA classification approaches are limited by ineffective audio modeling and late-stage fusion. We showcase significant improvements in multimodal DA classification by integrating modalities at a more granular level and incorporating recent advancements in large language and audio models for audio feature extraction. We further investigate the effectiveness of self-attention and cross-attention mechanisms in modeling utterances and dialogs for DA classification. We achieve a substantial increase of 3 percentage points in the F1 score relative to current state-of-the-art models on two prominent DA classification datasets, MRDA and EMOTyDA.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cooper-surdeanu-blanco-hidinginplainsighttweetswithhatespeechmaskedbyhomoglyphs-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.findings-emnlp.192\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cooper-surdeanu-blanco-hidinginplainsighttweetswithhatespeechmaskedbyhomoglyphs-2023', 'https://aclanthology.org/2023.findings-emnlp.192', event);\">\n    Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cooper, P.; Surdeanu, M.;  and Blanco, E.\n</span>\n\n  \n\n</span>\n\n  In Bouamor, H.; Pino, J.;  and Bali, K., editor(s), <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i>, pages 2922–2929, Singapore, December 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.findings-emnlp.192\"\n     onclick=\"log_download('cooper-surdeanu-blanco-hidinginplainsighttweetswithhatespeechmaskedbyhomoglyphs-2023', 'https://aclanthology.org/2023.findings-emnlp.192', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2023.findings-emnlp.192\"\n     onclick=\"log_download('cooper-surdeanu-blanco-hidinginplainsighttweetswithhatespeechmaskedbyhomoglyphs-2023', 'http://doi.org/10.18653/v1/2023.findings-emnlp.192', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cooper-surdeanu-blanco-hidinginplainsighttweetswithhatespeechmaskedbyhomoglyphs-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cooper-surdeanu-blanco-hidinginplainsighttweetswithhatespeechmaskedbyhomoglyphs-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{cooper-etal-2023-hiding,\n    title = &quot;Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs&quot;,\n    author = &quot;Cooper, Portia  and\n      Surdeanu, Mihai  and\n      Blanco, Eduardo&quot;,\n    editor = &quot;Bouamor, Houda  and\n      Pino, Juan  and\n      Bali, Kalika&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2023&quot;,\n    month = dec,\n    year = &quot;2023&quot;,\n    address = &quot;Singapore&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.findings-emnlp.192&quot;,\n    doi = &quot;10.18653/v1/2023.findings-emnlp.192&quot;,\n    pages = &quot;2922--2929&quot;,\n    abstract = &quot;To avoid detection by current NLP monitoring applications, progenitors of hate speech often replace one or more letters in offensive words with homoglyphs, visually similar Unicode characters. Harvesting real-world hate speech containing homoglyphs is challenging due to the vast replacement possibilities. We developed a character substitution scraping method and assembled the Offensive Tweets with Homoglyphs (OTH) Dataset (N=90,788) with more than 1.5 million occurrences of 1,281 non-Latin characters (emojis excluded). In an annotated sample (n=700), 40.14{\\%} of the tweets were found to contain hate speech. We assessed the performance of seven transformer-based hate speech detection models and found that they performed poorly in a zero-shot setting (F1 scores between 0.04 and 0.52) but normalizing the data dramatically improved detection (F1 scores between 0.59 and 0.71). Training the models using the annotated data further boosted performance (highest micro-averaged F1 score=0.88, using five-fold cross validation). This study indicates that a dataset containing homoglyphs known and unknown to the scraping script can be collected, and that neural models can be trained to recognize camouflaged real-world hate speech.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  To avoid detection by current NLP monitoring applications, progenitors of hate speech often replace one or more letters in offensive words with homoglyphs, visually similar Unicode characters. Harvesting real-world hate speech containing homoglyphs is challenging due to the vast replacement possibilities. We developed a character substitution scraping method and assembled the Offensive Tweets with Homoglyphs (OTH) Dataset (N=90,788) with more than 1.5 million occurrences of 1,281 non-Latin characters (emojis excluded). In an annotated sample (n=700), 40.14% of the tweets were found to contain hate speech. We assessed the performance of seven transformer-based hate speech detection models and found that they performed poorly in a zero-shot setting (F1 scores between 0.04 and 0.52) but normalizing the data dramatically improved detection (F1 scores between 0.59 and 0.71). Training the models using the annotated data further boosted performance (highest micro-averaged F1 score=0.88, using five-fold cross validation). This study indicates that a dataset containing homoglyphs known and unknown to the scraping script can be collected, and that neural models can be trained to recognize camouflaged real-world hate speech.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kwak-forte-bambauer-surdeanu-transferringlegalnaturallanguageinferencemodelfromausstatetoanotherwhatmakesitsohard-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://clulab.org/papers/nllp2023_kwak-et-al.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kwak-forte-bambauer-surdeanu-transferringlegalnaturallanguageinferencemodelfromausstatetoanotherwhatmakesitsohard-2023', 'https://clulab.org/papers/nllp2023_kwak-et-al.pdf', event);\">\n    Transferring Legal Natural Language Inference Model from a US State to Another: What Makes It So Hard?.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kwak, A.; Forte, G.; Bambauer, D.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Natural Legal Language Processing Workshop 2023</i>, December 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://clulab.org/papers/nllp2023_kwak-et-al.pdf\"\n     onclick=\"log_download('kwak-forte-bambauer-surdeanu-transferringlegalnaturallanguageinferencemodelfromausstatetoanotherwhatmakesitsohard-2023', 'https://clulab.org/papers/nllp2023_kwak-et-al.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Transferring Legal Natural Language Inference Model from a US State to Another: What Makes It So Hard? [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kwak-forte-bambauer-surdeanu-transferringlegalnaturallanguageinferencemodelfromausstatetoanotherwhatmakesitsohard-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kwak-forte-bambauer-surdeanu-transferringlegalnaturallanguageinferencemodelfromausstatetoanotherwhatmakesitsohard-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kwak-et-al-nllp2023-error-analysis,\n    title = &quot;Transferring Legal Natural Language Inference Model from a US State to Another: What Makes It So Hard?&quot;,\n    author = &quot;Alice Kwak and Gaetano Forte and Derek Bambauer and Mihai Surdeanu&quot;,\n    booktitle = &quot;Proceedings of the Natural Legal Language Processing Workshop 2023&quot;,\n    month = dec,\n    year = &quot;2023&quot;,\n    url = &quot;https://clulab.org/papers/nllp2023_kwak-et-al.pdf&quot;,\n    abstract = &quot;This study investigates whether a legal natural language inference (NLI) model trained on the data from one US state can be transferred to another state. We fine-tuned a pre-trained model on the task of evaluating the validity of legal will statements, once with the dataset containing the Tennessee wills and once with the dataset containing the Idaho wills. Each model’s performance on the in-domain setting and the out-of-domain setting are compared to see if the models can across the states. We found that the model trained on one US state can be mostly transferred to another state. However, it is clear that the model’s performance drops in the out-of-domain setting. The F1 scores of the Tennessee model and the Idaho model are 96.41 and 92.03 when predicting the data from the same state, but they drop to 66.32 and 81.60 when predicting the data from another state. Subsequent error analysis revealed that there are two major sources of errors. First, the model fails to recognize equivalent laws across states when there are stylistic differences between laws. Second, difference in statutory section numbering system between the states makes it difficult for the model to locate laws relevant to the cases being predicted on. This analysis provides insights on how the future NLI system can be improved. Also, our findings offer empirical support to legal experts advocating the standardization of legal documents.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This study investigates whether a legal natural language inference (NLI) model trained on the data from one US state can be transferred to another state. We fine-tuned a pre-trained model on the task of evaluating the validity of legal will statements, once with the dataset containing the Tennessee wills and once with the dataset containing the Idaho wills. Each model’s performance on the in-domain setting and the out-of-domain setting are compared to see if the models can across the states. We found that the model trained on one US state can be mostly transferred to another state. However, it is clear that the model’s performance drops in the out-of-domain setting. The F1 scores of the Tennessee model and the Idaho model are 96.41 and 92.03 when predicting the data from the same state, but they drop to 66.32 and 81.60 when predicting the data from another state. Subsequent error analysis revealed that there are two major sources of errors. First, the model fails to recognize equivalent laws across states when there are stylistic differences between laws. Second, difference in statutory section numbering system between the states makes it difficult for the model to locate laws relevant to the cases being predicted on. This analysis provides insights on how the future NLI system can be improved. Also, our findings offer empirical support to legal experts advocating the standardization of legal documents.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kwak-jeong-forte-bambauer-morrison-surdeanu-informationextractionfromlegalwillshowwelldoesgpt4do-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://clulab.org/papers/emnlp2023_kwak-et-al.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kwak-jeong-forte-bambauer-morrison-surdeanu-informationextractionfromlegalwillshowwelldoesgpt4do-2023', 'https://clulab.org/papers/emnlp2023_kwak-et-al.pdf', event);\">\n    Information Extraction from Legal Wills: How Well Does GPT-4 Do?.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kwak, A.; Jeong, C.; Forte, G.; Bambauer, D.; Morrison, C.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i>, December 2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://clulab.org/papers/emnlp2023_kwak-et-al.pdf\"\n     onclick=\"log_download('kwak-jeong-forte-bambauer-morrison-surdeanu-informationextractionfromlegalwillshowwelldoesgpt4do-2023', 'https://clulab.org/papers/emnlp2023_kwak-et-al.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Information Extraction from Legal Wills: How Well Does GPT-4 Do? [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kwak-jeong-forte-bambauer-morrison-surdeanu-informationextractionfromlegalwillshowwelldoesgpt4do-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kwak-jeong-forte-bambauer-morrison-surdeanu-informationextractionfromlegalwillshowwelldoesgpt4do-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kwak-et-al-emnlp2023-ie4wills,\n    title = &quot;Information Extraction from Legal Wills: How Well Does GPT-4 Do?&quot;,\n    author = &quot;Alice Kwak and Cheonkam Jeong and Gaetano Forte and Derek Bambauer and Clayton Morrison and Mihai Surdeanu&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2023&quot;,\n    month = dec,\n    year = &quot;2023&quot;,\n    url = &quot;https://clulab.org/papers/emnlp2023_kwak-et-al.pdf&quot;,\n    abstract = &quot;This work presents a manually annotated dataset for Information Extraction (IE) from legal wills, and relevant in-context learning experiments on the dataset. The dataset consists of entities, binary relations between the entities (e.g., relations between testator and beneficiary), and n-ary events (e.g., bequest) extracted from 45 legal wills from two US states. This dataset can serve as a foundation for downstream tasks in the legal domain. Another use case of this dataset is evaluating the performance of large language models (LLMs) on this IE task. We evaluated GPT-4 with our dataset to investigate its ability to extract information from legal wills. Our evaluation result demonstrates that the model is capable of handling the task reasonably well. When given instructions and examples as a prompt, GPT-4 shows decent performance for both entity extraction and relation extraction tasks. Nevertheless, the evaluation result also reveals that the model is not perfect. We observed inconsistent outputs (given a prompt) as well as prompt over-generalization.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This work presents a manually annotated dataset for Information Extraction (IE) from legal wills, and relevant in-context learning experiments on the dataset. The dataset consists of entities, binary relations between the entities (e.g., relations between testator and beneficiary), and n-ary events (e.g., bequest) extracted from 45 legal wills from two US states. This dataset can serve as a foundation for downstream tasks in the legal domain. Another use case of this dataset is evaluating the performance of large language models (LLMs) on this IE task. We evaluated GPT-4 with our dataset to investigate its ability to extract information from legal wills. Our evaluation result demonstrates that the model is capable of handling the task reasonably well. When given instructions and examples as a prompt, GPT-4 shows decent performance for both entity extraction and relation extraction tasks. Nevertheless, the evaluation result also reveals that the model is not perfect. We observed inconsistent outputs (given a prompt) as well as prompt over-generalization.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rahimi-surdeanu-improvingzeroshotrelationclassificationviaautomaticallyacquiredentailmenttemplates-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.repl4nlp-1.16\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rahimi-surdeanu-improvingzeroshotrelationclassificationviaautomaticallyacquiredentailmenttemplates-2023', 'https://aclanthology.org/2023.repl4nlp-1.16', event);\">\n    Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rahimi, M.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)</i>, pages 187–195, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.repl4nlp-1.16\"\n     onclick=\"log_download('rahimi-surdeanu-improvingzeroshotrelationclassificationviaautomaticallyacquiredentailmenttemplates-2023', 'https://aclanthology.org/2023.repl4nlp-1.16', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rahimi-surdeanu-improvingzeroshotrelationclassificationviaautomaticallyacquiredentailmenttemplates-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rahimi-surdeanu-improvingzeroshotrelationclassificationviaautomaticallyacquiredentailmenttemplates-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{rahimi-surdeanu-2023-improving,\n    title = &quot;Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates&quot;,\n    author = &quot;Rahimi, Mahdi  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.repl4nlp-1.16&quot;,\n    pages = &quot;187--195&quot;,\n    abstract = &quot;While fully supervised relation classification (RC) models perform well on large-scale datasets, their performance drops drastically in low-resource settings. As generating annotated examples are expensive, recent zero-shot methods have been proposed that reformulate RC into other NLP tasks for which supervision exists such as textual entailment. However, these methods rely on templates that are manually created which is costly and requires domain expertise. In this paper, we present a novel strategy for template generation for relation classification, which is based on adapting Harris{&#x27;} distributional similarity principle to templates encoded using contextualized representations. Further, we perform empirical evaluation of different strategies for combining the automatically acquired templates with manual templates. The experimental results on TACRED show that our approach not only performs better than the zero-shot RC methods that only use manual templates, but also that it achieves state-of-the-art performance for zero-shot TACRED at 64.3 F1 score.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  While fully supervised relation classification (RC) models perform well on large-scale datasets, their performance drops drastically in low-resource settings. As generating annotated examples are expensive, recent zero-shot methods have been proposed that reformulate RC into other NLP tasks for which supervision exists such as textual entailment. However, these methods rely on templates that are manually created which is costly and requires domain expertise. In this paper, we present a novel strategy for template generation for relation classification, which is based on adapting Harris' distributional similarity principle to templates encoded using contextualized representations. Further, we perform empirical evaluation of different strategies for combining the automatically acquired templates with manual templates. The experimental results on TACRED show that our approach not only performs better than the zero-shot RC methods that only use manual templates, but also that it achieves state-of-the-art performance for zero-shot TACRED at 64.3 F1 score.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"george-surdeanu-itsnotsexuallysuggestiveitseducativeseparatingsexeducationfromsuggestivecontentontiktokvideos-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.findings-acl.365\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'george-surdeanu-itsnotsexuallysuggestiveitseducativeseparatingsexeducationfromsuggestivecontentontiktokvideos-2023', 'https://aclanthology.org/2023.findings-acl.365', event);\">\n    It's not Sexually Suggestive; It's Educative | Separating Sex Education from Suggestive Content on TikTok Videos.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  George, E.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Findings of the Association for Computational Linguistics: ACL 2023</i>, pages 5904–5915, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.findings-acl.365\"\n     onclick=\"log_download('george-surdeanu-itsnotsexuallysuggestiveitseducativeseparatingsexeducationfromsuggestivecontentontiktokvideos-2023', 'https://aclanthology.org/2023.findings-acl.365', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"It&#x27;s not Sexually Suggestive; It&#x27;s Educative | Separating Sex Education from Suggestive Content on TikTok Videos [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/george-surdeanu-itsnotsexuallysuggestiveitseducativeseparatingsexeducationfromsuggestivecontentontiktokvideos-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('george-surdeanu-itsnotsexuallysuggestiveitseducativeseparatingsexeducationfromsuggestivecontentontiktokvideos-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{george-surdeanu-2023-sexually,\n    title = &quot;It{&#x27;}s not Sexually Suggestive; It{&#x27;}s Educative | Separating Sex Education from Suggestive Content on {T}ik{T}ok Videos&quot;,\n    author = &quot;George, Enfa  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: ACL 2023&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.findings-acl.365&quot;,\n    pages = &quot;5904--5915&quot;,\n    abstract = &quot;We introduce SexTok, a multi-modal dataset composed of TikTok videos labeled as sexually suggestive (from the annotator{&#x27;}s point of view), sex-educational content, or neither. Such a dataset is necessary to address the challenge of distinguishing between sexually suggestive content and virtual sex education videos on TikTok. Children{&#x27;}s exposure to sexually suggestive videos has been shown to have adversarial effects on their development (Collins et al. 2017). Meanwhile, virtual sex education, especially on subjects that are more relevant to the LGBTQIA+ community, is very valuable (Mitchell et al. 2014). The platform{&#x27;}s current system removes/punishes some of both types of videos, even though they serve different purposes. Our dataset contains video URLs, and it is also audio transcribed. To validate its importance, we explore two transformer-based models for classifying the videos. Our preliminary results suggest that the task of distinguishing between these types of videos is learnable but challenging. These experiments suggest that this dataset is meaningful and invites further study on the subject.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We introduce SexTok, a multi-modal dataset composed of TikTok videos labeled as sexually suggestive (from the annotator's point of view), sex-educational content, or neither. Such a dataset is necessary to address the challenge of distinguishing between sexually suggestive content and virtual sex education videos on TikTok. Children's exposure to sexually suggestive videos has been shown to have adversarial effects on their development (Collins et al. 2017). Meanwhile, virtual sex education, especially on subjects that are more relevant to the LGBTQIA+ community, is very valuable (Mitchell et al. 2014). The platform's current system removes/punishes some of both types of videos, even though they serve different purposes. Our dataset contains video URLs, and it is also audio transcribed. To validate its importance, we explore two transformer-based models for classifying the videos. Our preliminary results suggest that the task of distinguishing between these types of videos is learnable but challenging. These experiments suggest that this dataset is meaningful and invites further study on the subject.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"tang-surdeanu-ittakestwoflintstomakeafiremultitasklearningofneuralrelationandexplanationclassifiers-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1162/coli\\_a\\_00463\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'tang-surdeanu-ittakestwoflintstomakeafiremultitasklearningofneuralrelationandexplanationclassifiers-2023', 'https://doi.org/10.1162/coli\\_a\\_00463', event);\">\n    It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Tang, Z.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  <i>Computational Linguistics</i>, 49(1): 117-156. 03 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1162/coli\\_a\\_00463\"\n     onclick=\"log_download('tang-surdeanu-ittakestwoflintstomakeafiremultitasklearningofneuralrelationandexplanationclassifiers-2023', 'https://doi.org/10.1162/coli\\_a\\_00463', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1162/coli_a_00463\"\n     onclick=\"log_download('tang-surdeanu-ittakestwoflintstomakeafiremultitasklearningofneuralrelationandexplanationclassifiers-2023', 'http://doi.org/10.1162/coli_a_00463', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/tang-surdeanu-ittakestwoflintstomakeafiremultitasklearningofneuralrelationandexplanationclassifiers-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>44 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('tang-surdeanu-ittakestwoflintstomakeafiremultitasklearningofneuralrelationandexplanationclassifiers-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{10.1162/coli_a_00463,\n    author = {Tang, Zheng and Surdeanu, Mihai},\n    title = &quot;{It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers}&quot;,\n    journal = {Computational Linguistics},\n    volume = {49},\n    number = {1},\n    pages = {117-156},\n    year = {2023},\n    month = {03},\n    abstract = &quot;{We propose an explainable approach for relation extraction that mitigates the tension between generalization and explainability by jointly training for the two goals. Our approach uses a multi-task learning architecture, which jointly trains a classifier for relation extraction, and a sequence model that labels words in the context of the relations that explain the decisions of the relation classifier. We also convert the model outputs to rules to bring global explanations to this approach. This sequence model is trained using a hybrid strategy: supervised, when supervision from pre-existing patterns is available, and semi-supervised otherwise. In the latter situation, we treat the sequence model’s labels as latent variables, and learn the best assignment that maximizes the performance of the relation classifier. We evaluate the proposed approach on the two datasets and show that the sequence model provides labels that serve as accurate explanations for the relation classifier’s decisions, and, importantly, that the joint training generally improves the performance of the relation classifier. We also evaluate the performance of the generated rules and show that the new rules are a great add-on to the manual rules and bring the rule-based system much closer to the neural models.}&quot;,\n    issn = {0891-2017},\n    doi = {10.1162/coli_a_00463},\n    url = {https://doi.org/10.1162/coli\\_a\\_00463},\n    eprint = {https://direct.mit.edu/coli/article-pdf/49/1/117/2068962/coli\\_a\\_00463.pdf},\n}\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We propose an explainable approach for relation extraction that mitigates the tension between generalization and explainability by jointly training for the two goals. Our approach uses a multi-task learning architecture, which jointly trains a classifier for relation extraction, and a sequence model that labels words in the context of the relations that explain the decisions of the relation classifier. We also convert the model outputs to rules to bring global explanations to this approach. This sequence model is trained using a hybrid strategy: supervised, when supervision from pre-existing patterns is available, and semi-supervised otherwise. In the latter situation, we treat the sequence model’s labels as latent variables, and learn the best assignment that maximizes the performance of the relation classifier. We evaluate the proposed approach on the two datasets and show that the sequence model provides labels that serve as accurate explanations for the relation classifier’s decisions, and, importantly, that the joint training generally improves the performance of the relation classifier. We also evaluate the performance of the generated rules and show that the new rules are a great add-on to the manual rules and bring the rule-based system much closer to the neural models.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bastan-surdeanu-balasubramanian-neurostructuraldecodingneuraltextgenerationwithstructuralconstraints-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.acl-long.528.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bastan-surdeanu-balasubramanian-neurostructuraldecodingneuraltextgenerationwithstructuralconstraints-2023', 'https://aclanthology.org/2023.acl-long.528.pdf', event);\">\n    NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bastan, M.; Surdeanu, M.;  and Balasubramanian, N.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)</i>,  2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.acl-long.528.pdf\"\n     onclick=\"log_download('bastan-surdeanu-balasubramanian-neurostructuraldecodingneuraltextgenerationwithstructuralconstraints-2023', 'https://aclanthology.org/2023.acl-long.528.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bastan-surdeanu-balasubramanian-neurostructuraldecodingneuraltextgenerationwithstructuralconstraints-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bastan-surdeanu-balasubramanian-neurostructuraldecodingneuraltextgenerationwithstructuralconstraints-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{bastan2023-structural,\n  title={NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints},\n  author={Bastan, Mohaddeseh and Surdeanu, Mihai and Balasubramanian, Niranjan},\n  booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},\n  year={2023},\n  url={https://aclanthology.org/2023.acl-long.528.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"tang-surdeanu-bootstrappingneuralrelationandexplanationclassifiers-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.acl-short.5.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'tang-surdeanu-bootstrappingneuralrelationandexplanationclassifiers-2023', 'https://aclanthology.org/2023.acl-short.5.pdf', event);\">\n    Bootstrapping Neural Relation and Explanation Classifiers.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Tang, Z.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)</i>, July 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.acl-short.5.pdf\"\n     onclick=\"log_download('tang-surdeanu-bootstrappingneuralrelationandexplanationclassifiers-2023', 'https://aclanthology.org/2023.acl-short.5.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Bootstrapping Neural Relation and Explanation Classifiers [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/tang-surdeanu-bootstrappingneuralrelationandexplanationclassifiers-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>10 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('tang-surdeanu-bootstrappingneuralrelationandexplanationclassifiers-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{acl2023-bootstrapping-zheng,\n    title = &quot;Bootstrapping Neural Relation and Explanation Classifiers&quot;,\n    author = &quot;Zheng Tang  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.acl-short.5.pdf&quot;,\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"alexeeva-hyland-alcock-bealcohen-kanyamahanga-anni-surdeanu-annotatingandtrainingforpopulationsubjectiveviews-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/wassa2023-beliefs.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'alexeeva-hyland-alcock-bealcohen-kanyamahanga-anni-surdeanu-annotatingandtrainingforpopulationsubjectiveviews-2023', 'http://clulab.org/papers/wassa2023-beliefs.pdf', event);\">\n    Annotating and Training for Population Subjective Views.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Alexeeva, M.; Hyland, C.; Alcock, K.; Beal Cohen, A. A.; Kanyamahanga, H.; Anni, I. K.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis</i>,  2023. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/wassa2023-beliefs.pdf\"\n     onclick=\"log_download('alexeeva-hyland-alcock-bealcohen-kanyamahanga-anni-surdeanu-annotatingandtrainingforpopulationsubjectiveviews-2023', 'http://clulab.org/papers/wassa2023-beliefs.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Annotating and Training for Population Subjective Views [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/alexeeva-hyland-alcock-bealcohen-kanyamahanga-anni-surdeanu-annotatingandtrainingforpopulationsubjectiveviews-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('alexeeva-hyland-alcock-bealcohen-kanyamahanga-anni-surdeanu-annotatingandtrainingforpopulationsubjectiveviews-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{\n    alexeeva-et-al-2023-annotating,\n    title={Annotating and Training for Population Subjective Views},\n    author={Alexeeva, Maria and Hyland, Caroline and Alcock, Keith and Beal Cohen,  Allegra A. and Kanyamahanga, Hubert and Anni, Isaac Kobby and Surdeanu, Mihai},\n    booktitle={13th Workshop on Computational Approaches to Subjectivity, Sentiment {\\&amp;} Social Media Analysis},\n    year={2023},\n    url={http://clulab.org/papers/wassa2023-beliefs.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"su-howard-hakim-bethard-fusingtemporalgraphsintotransformersfortimesensitivequestionanswering-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.findings-emnlp.67\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'su-howard-hakim-bethard-fusingtemporalgraphsintotransformersfortimesensitivequestionanswering-2023', 'https://aclanthology.org/2023.findings-emnlp.67', event);\">\n    Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Su, X.; Howard, P.; Hakim, N.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In Bouamor, H.; Pino, J.;  and Bali, K., editor(s), <i>Findings of the Association for Computational Linguistics: EMNLP 2023</i>, pages 948–966, Singapore, December 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.findings-emnlp.67\"\n     onclick=\"log_download('su-howard-hakim-bethard-fusingtemporalgraphsintotransformersfortimesensitivequestionanswering-2023', 'https://aclanthology.org/2023.findings-emnlp.67', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2023.findings-emnlp.67\"\n     onclick=\"log_download('su-howard-hakim-bethard-fusingtemporalgraphsintotransformersfortimesensitivequestionanswering-2023', 'http://doi.org/10.18653/v1/2023.findings-emnlp.67', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/su-howard-hakim-bethard-fusingtemporalgraphsintotransformersfortimesensitivequestionanswering-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('su-howard-hakim-bethard-fusingtemporalgraphsintotransformersfortimesensitivequestionanswering-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{su-etal-2023-fusing,\n    title = &quot;Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering&quot;,\n    author = &quot;Su, Xin  and\n      Howard, Phillip  and\n      Hakim, Nagib  and\n      Bethard, Steven&quot;,\n    editor = &quot;Bouamor, Houda  and\n      Pino, Juan  and\n      Bali, Kalika&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2023&quot;,\n    month = dec,\n    year = &quot;2023&quot;,\n    address = &quot;Singapore&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.findings-emnlp.67&quot;,\n    doi = &quot;10.18653/v1/2023.findings-emnlp.67&quot;,\n    pages = &quot;948--966&quot;,\n    keywords = {timelines, question answering},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"naumann-benabacha-bethard-roberts-rumshisky-proceedingsofthe5thclinicalnaturallanguageprocessingworkshop-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.clinicalnlp-1.0\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'naumann-benabacha-bethard-roberts-rumshisky-proceedingsofthe5thclinicalnaturallanguageprocessingworkshop-2023', 'https://aclanthology.org/2023.clinicalnlp-1.0', event);\">\n    Proceedings of the 5th Clinical Natural Language Processing Workshop.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Naumann, T.; Ben Abacha, A.; Bethard, S.; Roberts, K.;  and Rumshisky, A.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Toronto, Canada, July 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.clinicalnlp-1.0\"\n     onclick=\"log_download('naumann-benabacha-bethard-roberts-rumshisky-proceedingsofthe5thclinicalnaturallanguageprocessingworkshop-2023', 'https://aclanthology.org/2023.clinicalnlp-1.0', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the 5th Clinical Natural Language Processing Workshop [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/naumann-benabacha-bethard-roberts-rumshisky-proceedingsofthe5thclinicalnaturallanguageprocessingworkshop-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('naumann-benabacha-bethard-roberts-rumshisky-proceedingsofthe5thclinicalnaturallanguageprocessingworkshop-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{clinicalnlp-2023-clinical,\n    title = &quot;Proceedings of the 5th Clinical Natural Language Processing Workshop&quot;,\n    editor = &quot;Naumann, Tristan  and\n      Ben Abacha, Asma  and\n      Bethard, Steven  and\n      Roberts, Kirk  and\n      Rumshisky, Anna&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.clinicalnlp-1.0&quot;,\n    keywords = {health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"gonzalezlopez-bethard-transformerbasedcynicalexpressiondetectioninacorpusofspanishyoutubereviews-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.wassa-1.18\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'gonzalezlopez-bethard-transformerbasedcynicalexpressiondetectioninacorpusofspanishyoutubereviews-2023', 'https://aclanthology.org/2023.wassa-1.18', event);\">\n    Transformer-based cynical expression detection in a corpus of Spanish YouTube reviews.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Gonzalez-Lopez, S.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis</i>, pages 194–201, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.wassa-1.18\"\n     onclick=\"log_download('gonzalezlopez-bethard-transformerbasedcynicalexpressiondetectioninacorpusofspanishyoutubereviews-2023', 'https://aclanthology.org/2023.wassa-1.18', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Transformer-based cynical expression detection in a corpus of Spanish YouTube reviews [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/gonzalezlopez-bethard-transformerbasedcynicalexpressiondetectioninacorpusofspanishyoutubereviews-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('gonzalezlopez-bethard-transformerbasedcynicalexpressiondetectioninacorpusofspanishyoutubereviews-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{gonzalez-lopez-bethard-2023-transformer,\n    title = &quot;Transformer-based cynical expression detection in a corpus of {S}panish {Y}ou{T}ube reviews&quot;,\n    author = &quot;Gonzalez-Lopez, Samuel  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, {\\&amp;} Social Media Analysis&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.wassa-1.18&quot;,\n    pages = &quot;194--201&quot;,\n    keywords = {workshop paper, social media, sentiment},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhang-bethard-improvingtoponymresolutionwithbettercandidategenerationtransformerbasedrerankingandtwostageresolution-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.starsem-1.6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhang-bethard-improvingtoponymresolutionwithbettercandidategenerationtransformerbasedrerankingandtwostageresolution-2023', 'https://aclanthology.org/2023.starsem-1.6', event);\">\n    Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhang, Z.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)</i>, pages 48–60, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 47%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.starsem-1.6\"\n     onclick=\"log_download('zhang-bethard-improvingtoponymresolutionwithbettercandidategenerationtransformerbasedrerankingandtwostageresolution-2023', 'https://aclanthology.org/2023.starsem-1.6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhang-bethard-improvingtoponymresolutionwithbettercandidategenerationtransformerbasedrerankingandtwostageresolution-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhang-bethard-improvingtoponymresolutionwithbettercandidategenerationtransformerbasedrerankingandtwostageresolution-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{zhang-bethard-2023-improving,\n    title = &quot;Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution&quot;,\n    author = &quot;Zhang, Zeyu  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.starsem-1.6&quot;,\n    pages = &quot;48--60&quot;,\n    keywords = {locations, information extraction},\n    note = {[Acceptance rate 47\\%]},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bozdag-bilgis-bethard-arizonansatsemeval2023task9multilingualtweetintimacyanalysiswithxlmt-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.semeval-1.230\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bozdag-bilgis-bethard-arizonansatsemeval2023task9multilingualtweetintimacyanalysiswithxlmt-2023', 'https://aclanthology.org/2023.semeval-1.230', event);\">\n    Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bozdag, N. B.; Bilgis, T.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)</i>, pages 1656–1659, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.semeval-1.230\"\n     onclick=\"log_download('bozdag-bilgis-bethard-arizonansatsemeval2023task9multilingualtweetintimacyanalysiswithxlmt-2023', 'https://aclanthology.org/2023.semeval-1.230', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bozdag-bilgis-bethard-arizonansatsemeval2023task9multilingualtweetintimacyanalysiswithxlmt-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bozdag-bilgis-bethard-arizonansatsemeval2023task9multilingualtweetintimacyanalysiswithxlmt-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{bozdag-etal-2023-arizonans,\n    title = &quot;Arizonans at {S}em{E}val-2023 Task 9: Multilingual Tweet Intimacy Analysis with {XLM}-{T}&quot;,\n    author = &quot;Bozdag, Nimet Beyza  and\n      Bilgis, Tugay  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.semeval-1.230&quot;,\n    pages = &quot;1656--1659&quot;,\n    keywords = {shared task paper, social media},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bilgis-bozdag-bethard-gallagheratsemeval2023task5tacklingclickbaitwithseq2seqmodels-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.semeval-1.229\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bilgis-bozdag-bethard-gallagheratsemeval2023task5tacklingclickbaitwithseq2seqmodels-2023', 'https://aclanthology.org/2023.semeval-1.229', event);\">\n    Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bilgis, T.; Bozdag, N. B.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)</i>, pages 1650–1655, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.semeval-1.229\"\n     onclick=\"log_download('bilgis-bozdag-bethard-gallagheratsemeval2023task5tacklingclickbaitwithseq2seqmodels-2023', 'https://aclanthology.org/2023.semeval-1.229', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bilgis-bozdag-bethard-gallagheratsemeval2023task5tacklingclickbaitwithseq2seqmodels-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bilgis-bozdag-bethard-gallagheratsemeval2023task5tacklingclickbaitwithseq2seqmodels-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{bilgis-etal-2023-gallagher,\n    title = &quot;Gallagher at {S}em{E}val-2023 Task 5: Tackling Clickbait with {S}eq2{S}eq Models&quot;,\n    author = &quot;Bilgis, Tugay  and\n      Bozdag, Nimet Beyza  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.semeval-1.229&quot;,\n    pages = &quot;1650--1655&quot;,\n    keywords = {shared task paper, social media},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yao-bethard-wrightbettner-goldner-harris-savova-textualentailmentfortemporaldependencygraphparsing-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.clinicalnlp-1.25\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yao-bethard-wrightbettner-goldner-harris-savova-textualentailmentfortemporaldependencygraphparsing-2023', 'https://aclanthology.org/2023.clinicalnlp-1.25', event);\">\n    Textual Entailment for Temporal Dependency Graph Parsing.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yao, J.; Bethard, S.; Wright-Bettner, K.; Goldner, E.; Harris, D.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 5th Clinical Natural Language Processing Workshop</i>, pages 191–199, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.clinicalnlp-1.25\"\n     onclick=\"log_download('yao-bethard-wrightbettner-goldner-harris-savova-textualentailmentfortemporaldependencygraphparsing-2023', 'https://aclanthology.org/2023.clinicalnlp-1.25', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Textual Entailment for Temporal Dependency Graph Parsing [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yao-bethard-wrightbettner-goldner-harris-savova-textualentailmentfortemporaldependencygraphparsing-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yao-bethard-wrightbettner-goldner-harris-savova-textualentailmentfortemporaldependencygraphparsing-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{yao-etal-2023-textual,\n    title = &quot;Textual Entailment for Temporal Dependency Graph Parsing&quot;,\n    author = &quot;Yao, Jiarui  and\n      Bethard, Steven  and\n      Wright-Bettner, Kristin  and\n      Goldner, Eli  and\n      Harris, David  and\n      Savova, Guergana&quot;,\n    booktitle = &quot;Proceedings of the 5th Clinical Natural Language Processing Workshop&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.clinicalnlp-1.25&quot;,\n    pages = &quot;191--199&quot;,\n    keywords = {workshop paper, timelines, information extraction, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ozler-bethard-clulabatmediqachat2023summarizationandclassificationofmedicaldialogues-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.clinicalnlp-1.19\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ozler-bethard-clulabatmediqachat2023summarizationandclassificationofmedicaldialogues-2023', 'https://aclanthology.org/2023.clinicalnlp-1.19', event);\">\n    clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ozler, K. B.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 5th Clinical Natural Language Processing Workshop</i>, pages 144–149, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.clinicalnlp-1.19\"\n     onclick=\"log_download('ozler-bethard-clulabatmediqachat2023summarizationandclassificationofmedicaldialogues-2023', 'https://aclanthology.org/2023.clinicalnlp-1.19', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ozler-bethard-clulabatmediqachat2023summarizationandclassificationofmedicaldialogues-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ozler-bethard-clulabatmediqachat2023summarizationandclassificationofmedicaldialogues-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{ozler-bethard-2023-clulab,\n    title = &quot;clulab at {MEDIQA}-Chat 2023: Summarization and classification of medical dialogues&quot;,\n    author = &quot;Ozler, Kadir Bulut  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 5th Clinical Natural Language Processing Workshop&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.clinicalnlp-1.19&quot;,\n    pages = &quot;144--149&quot;,\n    keywords = {shared task paper, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"miller-bethard-dligach-savova-endtoendclinicaltemporalinformationextractionwithmultiheadattention-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.bionlp-1.28\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'miller-bethard-dligach-savova-endtoendclinicaltemporalinformationextractionwithmultiheadattention-2023', 'https://aclanthology.org/2023.bionlp-1.28', event);\">\n    End-to-end clinical temporal information extraction with multi-head attention.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Miller, T.; Bethard, S.; Dligach, D.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks</i>, pages 313–319, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.bionlp-1.28\"\n     onclick=\"log_download('miller-bethard-dligach-savova-endtoendclinicaltemporalinformationextractionwithmultiheadattention-2023', 'https://aclanthology.org/2023.bionlp-1.28', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"End-to-end clinical temporal information extraction with multi-head attention [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/miller-bethard-dligach-savova-endtoendclinicaltemporalinformationextractionwithmultiheadattention-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('miller-bethard-dligach-savova-endtoendclinicaltemporalinformationextractionwithmultiheadattention-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{miller-etal-2023-end,\n    title = &quot;End-to-end clinical temporal information extraction with multi-head attention&quot;,\n    author = &quot;Miller, Timothy  and\n      Bethard, Steven  and\n      Dligach, Dmitriy  and\n      Savova, Guergana&quot;,\n    booktitle = &quot;The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.bionlp-1.28&quot;,\n    pages = &quot;313--319&quot;,\n    keywords = {workshop paper, timelines, information extraction, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-li-miller-bethard-savova-twostagefinetuningforimprovedbiasandvarianceforlargepretrainedlanguagemodels-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2023.acl-long.877\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-li-miller-bethard-savova-twostagefinetuningforimprovedbiasandvarianceforlargepretrainedlanguagemodels-2023', 'https://aclanthology.org/2023.acl-long.877', event);\">\n    Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, L.; Li, Y.; Miller, T.; Bethard, S.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</i>, pages 15746–15761, Toronto, Canada, July 2023. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 23%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2023.acl-long.877\"\n     onclick=\"log_download('wang-li-miller-bethard-savova-twostagefinetuningforimprovedbiasandvarianceforlargepretrainedlanguagemodels-2023', 'https://aclanthology.org/2023.acl-long.877', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-li-miller-bethard-savova-twostagefinetuningforimprovedbiasandvarianceforlargepretrainedlanguagemodels-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-li-miller-bethard-savova-twostagefinetuningforimprovedbiasandvarianceforlargepretrainedlanguagemodels-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{wang-etal-2023-two,\n    title = &quot;Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models&quot;,\n    author = &quot;Wang, Lijing  and\n      Li, Yingya  and\n      Miller, Timothy  and\n      Bethard, Steven  and\n      Savova, Guergana&quot;,\n    booktitle = &quot;Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)&quot;,\n    month = jul,\n    year = &quot;2023&quot;,\n    address = &quot;Toronto, Canada&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2023.acl-long.877&quot;,\n    pages = &quot;15746--15761&quot;,\n    keywords = {machine learning},\n    note = {[Acceptance rate 23\\%]},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"laparra-binfordwalsh-emerson-miller-lpezhoffman-currim-bethard-addressingstructuralhurdlesformetadataextractionfromenvironmentalimpactstatements-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/asi.24809\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'laparra-binfordwalsh-emerson-miller-lpezhoffman-currim-bethard-addressingstructuralhurdlesformetadataextractionfromenvironmentalimpactstatements-2023', 'https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/asi.24809', event);\">\n    Addressing structural hurdles for metadata extraction from environmental impact statements.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Laparra, E.; Binford-Walsh, A.; Emerson, K.; Miller, M. L.; López-Hoffman, L.; Currim, F.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of the Association for Information Science and Technology</i>, n/a(n/a). June 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/asi.24809\"\n     onclick=\"log_download('laparra-binfordwalsh-emerson-miller-lpezhoffman-currim-bethard-addressingstructuralhurdlesformetadataextractionfromenvironmentalimpactstatements-2023', 'https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/asi.24809', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Addressing structural hurdles for metadata extraction from environmental impact statements [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1002/asi.24809\"\n     onclick=\"log_download('laparra-binfordwalsh-emerson-miller-lpezhoffman-currim-bethard-addressingstructuralhurdlesformetadataextractionfromenvironmentalimpactstatements-2023', 'http://doi.org/https://doi.org/10.1002/asi.24809', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/laparra-binfordwalsh-emerson-miller-lpezhoffman-currim-bethard-addressingstructuralhurdlesformetadataextractionfromenvironmentalimpactstatements-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('laparra-binfordwalsh-emerson-miller-lpezhoffman-currim-bethard-addressingstructuralhurdlesformetadataextractionfromenvironmentalimpactstatements-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{https://doi.org/10.1002/asi.24809,\nauthor = {Laparra, Egoitz and Binford-Walsh, Alex and Emerson, Kirk and Miller, Marc L. and López-Hoffman, Laura and Currim, Faiz and Bethard, Steven},\ntitle = {Addressing structural hurdles for metadata extraction from environmental impact statements},\njournal = {Journal of the Association for Information Science and Technology},\nvolume = {n/a},\nnumber = {n/a},\npages = {},\nmonth = jun,\nyear = {2023},\ndoi = {https://doi.org/10.1002/asi.24809},\nurl = {https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/asi.24809},\nkeywords = {environmental policy},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rains-kenski-dajches-duncan-yan-shin-barbati-bethard-etal-engagementwithincivilityintweetsfromanddirectedatlocalelectedofficials-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1080/27671127.2023.2195467\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rains-kenski-dajches-duncan-yan-shin-barbati-bethard-etal-engagementwithincivilityintweetsfromanddirectedatlocalelectedofficials-2023', 'https://doi.org/10.1080/27671127.2023.2195467', event);\">\n    Engagement with incivility in tweets from and directed at local elected officials.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rains, S. A.; Kenski, K.; Dajches, L.; Duncan, K.; Yan, K.; Shin, Y.; Barbati, J. L.; Bethard, S.; Coe, K.;  and Shmargad, Y.\n</span>\n\n  \n\n</span>\n\n  <i>Communication and Democracy</i>, 57(1): 143-152.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1080/27671127.2023.2195467\"\n     onclick=\"log_download('rains-kenski-dajches-duncan-yan-shin-barbati-bethard-etal-engagementwithincivilityintweetsfromanddirectedatlocalelectedofficials-2023', 'https://doi.org/10.1080/27671127.2023.2195467', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Engagement with incivility in tweets from and directed at local elected officials [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1080/27671127.2023.2195467\"\n     onclick=\"log_download('rains-kenski-dajches-duncan-yan-shin-barbati-bethard-etal-engagementwithincivilityintweetsfromanddirectedatlocalelectedofficials-2023', 'http://doi.org/10.1080/27671127.2023.2195467', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rains-kenski-dajches-duncan-yan-shin-barbati-bethard-etal-engagementwithincivilityintweetsfromanddirectedatlocalelectedofficials-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rains-kenski-dajches-duncan-yan-shin-barbati-bethard-etal-engagementwithincivilityintweetsfromanddirectedatlocalelectedofficials-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{doi:10.1080/27671127.2023.2195467,\nauthor = {Stephen A. Rains and Kate Kenski and Leah Dajches and Kaylin Duncan and Kun Yan and Yejin Shin and Jules L. Barbati and Steven Bethard and Kevin Coe and Yotam Shmargad},\ntitle = {Engagement with incivility in tweets from and directed at local elected officials},\njournal = {Communication and Democracy},\nvolume = {57},\nnumber = {1},\npages = {143-152},\nyear  = {2023},\npublisher = {Routledge},\ndoi = {10.1080/27671127.2023.2195467},\nURL = {https://doi.org/10.1080/27671127.2023.2195467},\nkeywords = {social media},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2022\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2022')\"\n      onkeypress=\"toggleGroup('group_2022')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2022</span>\n      <span class=\"bibbase_group_count\">\n        \n        (24)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"vacareanu-bell-surdeanu-patternrankjointlyrankingpatternsandextractionsforrelationextractionusinggraphbasedalgorithms-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.pandl-1.1.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'vacareanu-bell-surdeanu-patternrankjointlyrankingpatternsandextractionsforrelationextractionusinggraphbasedalgorithms-2022', 'https://aclanthology.org/2022.pandl-1.1.pdf', event);\">\n    PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Bell, D.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>PANDL</i>,  2022. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.pandl-1.1.pdf\"\n     onclick=\"log_download('vacareanu-bell-surdeanu-patternrankjointlyrankingpatternsandextractionsforrelationextractionusinggraphbasedalgorithms-2022', 'https://aclanthology.org/2022.pandl-1.1.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-bell-surdeanu-patternrankjointlyrankingpatternsandextractionsforrelationextractionusinggraphbasedalgorithms-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-bell-surdeanu-patternrankjointlyrankingpatternsandextractionsforrelationextractionusinggraphbasedalgorithms-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Vacareanu2022PatternRankJR,\n    title = {PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms},\n    author = {Robert Vacareanu and Dane Bell and Mihai Surdeanu},\n    booktitle = {PANDL},\n    abstract=&quot;{In this paper we revisit the direction of using lexico-syntactic patterns for relation extraction instead of today&#x27;s ubiquitous neural classifiers. We propose a semi-supervised graph-based algorithm for pattern acquisition that scores patterns and the relations they extract jointly, using a variant of PageRank. We insert light supervision in the form of seed patterns or relations, and model it with several custom teleportation probabilities that bias random-walk scores of patterns/relations based on their proximity to correct information. We evaluate our approach on Few-Shot TACRED, and show that our method outperforms (or performs competitively with) more expensive and opaque deep neural networks. Lastly, we thoroughly compare our proposed approach with the seminal RlogF pattern acquisition algorithm of, showing that it outperforms it for all the hyper parameters tested, in all settings. }&quot;,\n    url = {https://aclanthology.org/2022.pandl-1.1.pdf},\n    year = {2022}\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this paper we revisit the direction of using lexico-syntactic patterns for relation extraction instead of today's ubiquitous neural classifiers. We propose a semi-supervised graph-based algorithm for pattern acquisition that scores patterns and the relations they extract jointly, using a variant of PageRank. We insert light supervision in the form of seed patterns or relations, and model it with several custom teleportation probabilities that bias random-walk scores of patterns/relations based on their proximity to correct information. We evaluate our approach on Few-Shot TACRED, and show that our method outperforms (or performs competitively with) more expensive and opaque deep neural networks. Lastly, we thoroughly compare our proposed approach with the seminal RlogF pattern acquisition algorithm of, showing that it outperforms it for all the hyper parameters tested, in all settings. \n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"vacareanu-barbosa-noriegaatala-hahnpowell-sharp-valenzuelaescarcega-surdeanu-ahumanmachineinterfaceforfewshotrulesynthesisforinformationextraction-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.naacl-demo.8.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'vacareanu-barbosa-noriegaatala-hahnpowell-sharp-valenzuelaescarcega-surdeanu-ahumanmachineinterfaceforfewshotrulesynthesisforinformationextraction-2022', 'https://aclanthology.org/2022.naacl-demo.8.pdf', event);\">\n    A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Barbosa, G. C. G.; Noriega-Atala, E.; Hahn-Powell, G.; Sharp, R.; Valenzuela-Escarcega, M. A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  <i>Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations</i>.  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.naacl-demo.8.pdf\"\n     onclick=\"log_download('vacareanu-barbosa-noriegaatala-hahnpowell-sharp-valenzuelaescarcega-surdeanu-ahumanmachineinterfaceforfewshotrulesynthesisforinformationextraction-2022', 'https://aclanthology.org/2022.naacl-demo.8.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-barbosa-noriegaatala-hahnpowell-sharp-valenzuelaescarcega-surdeanu-ahumanmachineinterfaceforfewshotrulesynthesisforinformationextraction-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>4 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-barbosa-noriegaatala-hahnpowell-sharp-valenzuelaescarcega-surdeanu-ahumanmachineinterfaceforfewshotrulesynthesisforinformationextraction-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Vacareanu2022AHI,\n    title = {A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction},\n    author = {Robert Vacareanu and George Caique Gouveia Barbosa and Enrique Noriega-Atala and Gus Hahn-Powell and Rebecca Sharp and Marco Antonio Valenzuela-Escarcega and Mihai Surdeanu},\n    journal = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations},\n    abstract = &quot;{We propose a system that assists a user in constructing transparent information extraction models, consisting of patterns (or rules) written in a declarative language, through program synthesis.Users of our system can specify their requirements through the use of examples,which are collected with a search interface.The rule-synthesis system proposes rule candidates and the results of applying them on a textual corpus; the user has the option to accept the candidate, request another option, or adjust the examples provided to the system.Through an interactive evaluation, we show that our approach generates high-precision rules even in a 1-shot setting. On a second evaluation on a widely-used relation extraction dataset (TACRED), our method generates rules that outperform considerably manually written patterns.Our code, demo, and documentation is available at https://clulab.github.io/odinsynth.}&quot;,\n    url = {https://aclanthology.org/2022.naacl-demo.8.pdf},\n    year = {2022}\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We propose a system that assists a user in constructing transparent information extraction models, consisting of patterns (or rules) written in a declarative language, through program synthesis.Users of our system can specify their requirements through the use of examples,which are collected with a search interface.The rule-synthesis system proposes rule candidates and the results of applying them on a textual corpus; the user has the option to accept the candidate, request another option, or adjust the examples provided to the system.Through an interactive evaluation, we show that our approach generates high-precision rules even in a 1-shot setting. On a second evaluation on a widely-used relation extraction dataset (TACRED), our method generates rules that outperform considerably manually written patterns.Our code, demo, and documentation is available at https://clulab.github.io/odinsynth.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"nitschke-wang-chen-pyarelal-sharp-rulebasedeventextractionforartificialsocialintelligence-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.pandl-1.9\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'nitschke-wang-chen-pyarelal-sharp-rulebasedeventextractionforartificialsocialintelligence-2022', 'https://aclanthology.org/2022.pandl-1.9', event);\">\n    Rule Based Event Extraction for Artificial Social Intelligence.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Nitschke, R.; Wang, Y.; Chen, C.; Pyarelal, A.;  and Sharp, R.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning</i>, pages 71–84, Gyeongju, Republic of Korea, October 2022. International Conference on Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.pandl-1.9\"\n     onclick=\"log_download('nitschke-wang-chen-pyarelal-sharp-rulebasedeventextractionforartificialsocialintelligence-2022', 'https://aclanthology.org/2022.pandl-1.9', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Rule Based Event Extraction for Artificial Social Intelligence [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/nitschke-wang-chen-pyarelal-sharp-rulebasedeventextractionforartificialsocialintelligence-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('nitschke-wang-chen-pyarelal-sharp-rulebasedeventextractionforartificialsocialintelligence-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{nitschke-etal-2022-rule,\n    title = &quot;Rule Based Event Extraction for Artificial Social Intelligence&quot;,\n    author = &quot;Nitschke, Remo  and\n      Wang, Yuwei  and\n      Chen, Chen  and\n      Pyarelal, Adarsh  and\n      Sharp, Rebecca&quot;,\n    booktitle = &quot;Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning&quot;,\n    month = oct,\n    year = &quot;2022&quot;,\n    address = &quot;Gyeongju, Republic of Korea&quot;,\n    publisher = &quot;International Conference on Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.pandl-1.9&quot;,\n    pages = &quot;71--84&quot;,\n    abstract = &quot;Natural language (as opposed to structured communication modes\n        such as Morse code) is by far the most common mode of communication\n        between humans, and can thus provide significant insight into both\n        individual mental states and interpersonal dynamics. As part of\n        DARPA{&#x27;}s Artificial Social Intelligence for Successful Teams (ASIST)\n        program, we are developing an AI agent team member that constructs and\n        maintains models of their human teammates and provides appropriate\n        task-relevant advice to improve team processes and mission performance.\n        One of the key components of this agent is a module that uses a\n        rule-based approach to extract task-relevant events from natural\n        language utterances in real time, and publish them for consumption by\n        downstream components. In this case study, we evaluate the performance\n        of our rule-based event extraction system on a recently conducted ASIST\n        experiment consisting of a simulated urban search and rescue mission in\n        Minecraft. We compare the performance of our approach with that of a\n        zero-shot neural classifier, and find that our approach outperforms the\n        classifier for all event types, even when the classifier is used in an\n        oracle setting where it knows how many events should be extracted from\n        each utterance.&quot;,\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Natural language (as opposed to structured communication modes such as Morse code) is by far the most common mode of communication between humans, and can thus provide significant insight into both individual mental states and interpersonal dynamics. As part of DARPA's Artificial Social Intelligence for Successful Teams (ASIST) program, we are developing an AI agent team member that constructs and maintains models of their human teammates and provides appropriate task-relevant advice to improve team processes and mission performance. One of the key components of this agent is a module that uses a rule-based approach to extract task-relevant events from natural language utterances in real time, and publish them for consumption by downstream components. In this case study, we evaluate the performance of our rule-based event extraction system on a recently conducted ASIST experiment consisting of a simulated urban search and rescue mission in Minecraft. We compare the performance of our approach with that of a zero-shot neural classifier, and find that our approach outperforms the classifier for all event types, even when the classifier is used in an oracle setting where it knows how many events should be extracted from each utterance.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bastan-shankar-surdeanu-balasubramanian-sumeadatasettowardssummarizingbiomedicalmechanisms-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/SuMe_LREC2022.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bastan-shankar-surdeanu-balasubramanian-sumeadatasettowardssummarizingbiomedicalmechanisms-2022', 'http://clulab.org/papers/SuMe_LREC2022.pdf', event);\">\n    SuMe: A Dataset Towards Summarizing Biomedical Mechanisms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bastan, M.; Shankar, N.; Surdeanu, M.;  and Balasubramanian, N.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2022 LREC Conference</i>,  2022. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/SuMe_LREC2022.pdf\"\n     onclick=\"log_download('bastan-shankar-surdeanu-balasubramanian-sumeadatasettowardssummarizingbiomedicalmechanisms-2022', 'http://clulab.org/papers/SuMe_LREC2022.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"SuMe: A Dataset Towards Summarizing Biomedical Mechanisms [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bastan-shankar-surdeanu-balasubramanian-sumeadatasettowardssummarizingbiomedicalmechanisms-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bastan-shankar-surdeanu-balasubramanian-sumeadatasettowardssummarizingbiomedicalmechanisms-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{bastan2022-sume,\n  title={SuMe: A Dataset Towards Summarizing Biomedical Mechanisms},\n  author={Bastan, Mohaddeseh and Shankar, Nishant and Surdeanu, Mihai and Balasubramanian, Niranjan},\n  booktitle={Proceedings of the 2022 LREC Conference},\n  year={2022},\n  url={http://clulab.org/papers/SuMe_LREC2022.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rahimi-surdeanu-dotransformernetworksimprovethediscoveryofrulesfromtext-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/bird.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rahimi-surdeanu-dotransformernetworksimprovethediscoveryofrulesfromtext-2022', 'http://clulab.org/papers/bird.pdf', event);\">\n    Do Transformer Networks Improve the Discovery of Rules from Text?.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rahimi, M.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 13th Language Resources and Evaluation Conference (LREC)</i>,  2022. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/bird.pdf\"\n     onclick=\"log_download('rahimi-surdeanu-dotransformernetworksimprovethediscoveryofrulesfromtext-2022', 'http://clulab.org/papers/bird.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Do Transformer Networks Improve the Discovery of Rules from Text? [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/can_poster.pdf\"\n     onclick=\"log_download('rahimi-surdeanu-dotransformernetworksimprovethediscoveryofrulesfromtext-2022', 'http://clulab.org/papers/can_poster.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Do Transformer Networks Improve the Discovery of Rules from Text? [pdf]\"\n       title=\" poster\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> poster</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rahimi-surdeanu-dotransformernetworksimprovethediscoveryofrulesfromtext-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>26 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rahimi-surdeanu-dotransformernetworksimprovethediscoveryofrulesfromtext-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{rahimi2022bird,\n  title={Do Transformer Networks Improve the Discovery of Rules from Text?},\n  author={Rahimi, Mahdi and Surdeanu, Mihai},\n  booktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},\n  year={2022},\n  url={http://clulab.org/papers/bird.pdf},\n  url_Poster={http://clulab.org/papers/can_poster.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"luo-surdeanu-asteptowardsinterpretablemultihopreasoningbridgephraseidentificationandqueryexpansion-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/bridgephrases.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'luo-surdeanu-asteptowardsinterpretablemultihopreasoningbridgephraseidentificationandqueryexpansion-2022', 'http://clulab.org/papers/bridgephrases.pdf', event);\">\n    A STEP towards Interpretable Multi-Hop Reasoning: Bridge Phrase Identification and Query Expansion.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Luo, F.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>The 13th edition of Language Resources and Evaluation Conference Processing</i>,  2022. European Language Resource Association (ELRA)\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/bridgephrases.pdf\"\n     onclick=\"log_download('luo-surdeanu-asteptowardsinterpretablemultihopreasoningbridgephraseidentificationandqueryexpansion-2022', 'http://clulab.org/papers/bridgephrases.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A STEP towards Interpretable Multi-Hop Reasoning: Bridge Phrase Identification and Query Expansion [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/luo-surdeanu-asteptowardsinterpretablemultihopreasoningbridgephraseidentificationandqueryexpansion-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('luo-surdeanu-asteptowardsinterpretablemultihopreasoningbridgephraseidentificationandqueryexpansion-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{bridgephrases-identification2022,\n  title={A STEP towards Interpretable Multi-Hop Reasoning: Bridge Phrase Identification and Query Expansion},\n  author={Fan Luo and\n        Mihai Surdeanu},\n  booktitle = {The 13th edition of Language Resources and Evaluation Conference Processing},\n  year={2022},\n  abstract = {We propose an unsupervised method for the identification of bridge phrases in multi-hop question answering (QA). Our method\nconstructs a graph of noun phrases from the question and the available context, and applies the Steiner tree algorithm to identify\nthe minimal sub-graph that connects all question phrases. Nodes in the sub-graph that bridge loosely-connected or disjoint\nsubsets of question phrases due to low-strength semantic relations are extracted as bridge phrases. The identified bridge phrases\nare then used to expand the query based on the initial question, helping in increasing the relevance of evidence that has little\nlexical overlap or semantic relation with the question. Through an evaluation on HotpotQA(Yang et al., 2018), a popular dataset\nfor multi-hop QA, we show that our method yields: (a) improved evidence retrieval, (b) improved QA performance when using\nthe retrieved sentences; and (c) effective and faithful explanations when answers are provided.},\n  organization={European Language Resource Association (ELRA)},\n  url={http://clulab.org/papers/bridgephrases.pdf}\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We propose an unsupervised method for the identification of bridge phrases in multi-hop question answering (QA). Our method constructs a graph of noun phrases from the question and the available context, and applies the Steiner tree algorithm to identify the minimal sub-graph that connects all question phrases. Nodes in the sub-graph that bridge loosely-connected or disjoint subsets of question phrases due to low-strength semantic relations are extracted as bridge phrases. The identified bridge phrases are then used to expand the query based on the initial question, helping in increasing the relevance of evidence that has little lexical overlap or semantic relation with the question. Through an evaluation on HotpotQA(Yang et al., 2018), a popular dataset for multi-hop QA, we show that our method yields: (a) improved evidence retrieval, (b) improved QA performance when using the retrieved sentences; and (c) effective and faithful explanations when answers are provided.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"alexeeva-bealcohen-surdeanu-combiningextractionandgenerationforconstructingbeliefconsequencecausallinks-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.insights-1.22\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'alexeeva-bealcohen-surdeanu-combiningextractionandgenerationforconstructingbeliefconsequencecausallinks-2022', 'https://aclanthology.org/2022.insights-1.22', event);\">\n    Combining Extraction and Generation for Constructing Belief-Consequence Causal Links.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Alexeeva, M.; Beal Cohen, A. A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Third Workshop on Insights from Negative Results in NLP</i>, pages 159–164, Dublin, Ireland, May 2022. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.insights-1.22\"\n     onclick=\"log_download('alexeeva-bealcohen-surdeanu-combiningextractionandgenerationforconstructingbeliefconsequencecausallinks-2022', 'https://aclanthology.org/2022.insights-1.22', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Combining Extraction and Generation for Constructing Belief-Consequence Causal Links [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/alexeeva-bealcohen-surdeanu-combiningextractionandgenerationforconstructingbeliefconsequencecausallinks-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('alexeeva-bealcohen-surdeanu-combiningextractionandgenerationforconstructingbeliefconsequencecausallinks-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{alexeeva-etal-2022-combining,\n    title = &quot;Combining Extraction and Generation for Constructing Belief-Consequence Causal Links&quot;,\n    author = &quot;Alexeeva, Maria  and\n      Beal Cohen, Allegra A.  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the Third Workshop on Insights from Negative Results in NLP&quot;,\n    month = may,\n    year = &quot;2022&quot;,\n    address = &quot;Dublin, Ireland&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.insights-1.22&quot;,\n    pages = &quot;159--164&quot;,\n    abstract = &quot;In this paper, we introduce and justify a new task{---}causal link extraction based on beliefs{---}and do a qualitative analysis of the ability of a large language model{---}InstructGPT-3{---}to generate implicit consequences of beliefs. With the language model-generated consequences being promising, but not consistent, we propose directions of future work, including data collection, explicit consequence extraction using rule-based and language modeling-based approaches, and using explicitly stated consequences of beliefs to fine-tune or prompt the language model to produce outputs suitable for the task.&quot;,\n}\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this paper, we introduce and justify a new task—causal link extraction based on beliefs—and do a qualitative analysis of the ability of a large language model—InstructGPT-3—to generate implicit consequences of beliefs. With the language model-generated consequences being promising, but not consistent, we propose directions of future work, including data collection, explicit consequence extraction using rule-based and language modeling-based approaches, and using explicitly stated consequences of beliefs to fine-tune or prompt the language model to produce outputs suitable for the task.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zupon-carnie-hammond-surdeanu-automaticcorrectionofsyntacticdependencyannotationdifferences-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/lrec-parsing.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zupon-carnie-hammond-surdeanu-automaticcorrectionofsyntacticdependencyannotationdifferences-2022', 'http://clulab.org/papers/lrec-parsing.pdf', event);\">\n    Automatic Correction of Syntactic Dependency Annotation Differences.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zupon, A.; Carnie, A.; Hammond, M.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 13th Language Resources and Evaluation Conference (LREC)</i>,  2022. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/lrec-parsing.pdf\"\n     onclick=\"log_download('zupon-carnie-hammond-surdeanu-automaticcorrectionofsyntacticdependencyannotationdifferences-2022', 'http://clulab.org/papers/lrec-parsing.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Automatic Correction of Syntactic Dependency Annotation Differences [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zupon-carnie-hammond-surdeanu-automaticcorrectionofsyntacticdependencyannotationdifferences-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zupon-carnie-hammond-surdeanu-automaticcorrectionofsyntacticdependencyannotationdifferences-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{zupon2022lparsinglrec,\n\ttitle={Automatic Correction of Syntactic Dependency Annotation Differences},\n\tauthor={Zupon, Andrew and Carnie, Andrew and Hammond, Michael and Surdeanu, Mihai},\n\tbooktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},\n\tyear={2022},\n\turl={http://clulab.org/papers/lrec-parsing.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"noriegaatala-surdeanu-morrison-learningopendomainmultihopsearchusingreinforcementlearning-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/2205.15281\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'noriegaatala-surdeanu-morrison-learningopendomainmultihopsearchusingreinforcementlearning-2022', 'https://arxiv.org/abs/2205.15281', event);\">\n    Learning Open Domain Multi-hop Search Using Reinforcement Learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Noriega-Atala, E.; Surdeanu, M.;  and Morrison, C. T.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Workshop on Structured and Unstructured Knowledge Integration</i>, Seattle, Washington, July 2022. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/2205.15281\"\n     onclick=\"log_download('noriegaatala-surdeanu-morrison-learningopendomainmultihopsearchusingreinforcementlearning-2022', 'https://arxiv.org/abs/2205.15281', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Learning Open Domain Multi-hop Search Using Reinforcement Learning [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.48550/ARXIV.2205.15281\"\n     onclick=\"log_download('noriegaatala-surdeanu-morrison-learningopendomainmultihopsearchusingreinforcementlearning-2022', 'http://doi.org/10.48550/ARXIV.2205.15281', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/noriegaatala-surdeanu-morrison-learningopendomainmultihopsearchusingreinforcementlearning-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('noriegaatala-surdeanu-morrison-learningopendomainmultihopsearchusingreinforcementlearning-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{https://doi.org/10.48550/arxiv.2205.15281,\n  doi = {10.48550/ARXIV.2205.15281},\n  url = {https://arxiv.org/abs/2205.15281},\n  author = {Noriega-Atala, Enrique and Surdeanu, Mihai and Morrison, Clayton T.},\n  title = {Learning Open Domain Multi-hop Search Using Reinforcement Learning},\n  booktitle = &quot;Proceedings of the Workshop on Structured and Unstructured Knowledge Integration&quot;,\n  month = jul,\n  year = &quot;2022&quot;,\n  address = &quot;Seattle, Washington&quot;,\n  publisher = &quot;Association for Computational Linguistics&quot;,\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"vacareanu-valenzuelaescrcega-barbosa-sharp-surdeanu-fromexamplestorulesneuralguidedrulesynthesisforinformationextraction-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/2202.00475\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'vacareanu-valenzuelaescrcega-barbosa-sharp-surdeanu-fromexamplestorulesneuralguidedrulesynthesisforinformationextraction-2022', 'https://arxiv.org/abs/2202.00475', event);\">\n    From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Valenzuela-Escárcega, M. A.; Barbosa, G.; Sharp, R.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 13th Language Resources and Evaluation Conference (LREC)</i>,  2022. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/2202.00475\"\n     onclick=\"log_download('vacareanu-valenzuelaescrcega-barbosa-sharp-surdeanu-fromexamplestorulesneuralguidedrulesynthesisforinformationextraction-2022', 'https://arxiv.org/abs/2202.00475', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-valenzuelaescrcega-barbosa-sharp-surdeanu-fromexamplestorulesneuralguidedrulesynthesisforinformationextraction-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>16 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-valenzuelaescrcega-barbosa-sharp-surdeanu-fromexamplestorulesneuralguidedrulesynthesisforinformationextraction-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{vacareanu2022synthlrec,\n        title={From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction},\n        author={Vacareanu, Robert and Valenzuela-Esc\\&#x27;{a}rcega, Marco A. and Barbosa, George and Sharp, Rebecca and Surdeanu, Mihai},\n        booktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},\n        year={2022},\n        url={https://arxiv.org/abs/2202.00475},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"park-carrapa-ducea-surdeanu-hayes-collins-answeringgeosciencesresearchquestionsataglobalscaleviaahybridmachinehumanlearningapproachacasestudyofthelinkbetweenclimateandvolcanism-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.geosociety.org/GSA/Publications/GSA_Today/GSA/GSAToday/science/G528A/article.aspx\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'park-carrapa-ducea-surdeanu-hayes-collins-answeringgeosciencesresearchquestionsataglobalscaleviaahybridmachinehumanlearningapproachacasestudyofthelinkbetweenclimateandvolcanism-2022', 'https://www.geosociety.org/GSA/Publications/GSA_Today/GSA/GSAToday/science/G528A/article.aspx', event);\">\n    Answering Geosciences Research Questions at a Global Scale via a Hybrid Machine-Human Learning Approach: A Case Study of the Link between Climate and Volcanism.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Park, S.; Carrapa, B.; Ducea, M. N.; Surdeanu, M.; Hayes, R.;  and Collins, D.\n</span>\n\n  \n\n</span>\n\n  <i>GSA Today</i>.  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.geosociety.org/GSA/Publications/GSA_Today/GSA/GSAToday/science/G528A/article.aspx\"\n     onclick=\"log_download('park-carrapa-ducea-surdeanu-hayes-collins-answeringgeosciencesresearchquestionsataglobalscaleviaahybridmachinehumanlearningapproachacasestudyofthelinkbetweenclimateandvolcanism-2022', 'https://www.geosociety.org/GSA/Publications/GSA_Today/GSA/GSAToday/science/G528A/article.aspx', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Answering Geosciences Research Questions at a Global Scale via a Hybrid Machine-Human Learning Approach: A Case Study of the Link between Climate and Volcanism [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1130/GSATG528A.1\"\n     onclick=\"log_download('park-carrapa-ducea-surdeanu-hayes-collins-answeringgeosciencesresearchquestionsataglobalscaleviaahybridmachinehumanlearningapproachacasestudyofthelinkbetweenclimateandvolcanism-2022', 'http://doi.org/https://doi.org/10.1130/GSATG528A.1', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/park-carrapa-ducea-surdeanu-hayes-collins-answeringgeosciencesresearchquestionsataglobalscaleviaahybridmachinehumanlearningapproachacasestudyofthelinkbetweenclimateandvolcanism-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>10 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('park-carrapa-ducea-surdeanu-hayes-collins-answeringgeosciencesresearchquestionsataglobalscaleviaahybridmachinehumanlearningapproachacasestudyofthelinkbetweenclimateandvolcanism-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{park2022geo,\n  title     = {Answering Geosciences Research Questions at a Global Scale via a Hybrid Machine-Human Learning Approach: A Case Study of the Link between Climate and Volcanism},\n  author  = {Park, Seongjin and Carrapa, Barbara and Ducea, Mihai N. and Surdeanu, Mihai and Hayes, Robert and Collins, Dan},\n  journal = {GSA Today},\n  url = {https://www.geosociety.org/GSA/Publications/GSA_Today/GSA/GSAToday/science/G528A/article.aspx},\n  doi = {https://doi.org/10.1130/GSATG528A.1},\n  year = {2022}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bastan-surdeanu-balasubramanian-bionligeneratingabiomedicalnlidatasetusinglexicosemanticconstraintsforadversarialexamples-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://paperswithcode.com/paper/bionli-generating-a-biomedical-nli-dataset\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bastan-surdeanu-balasubramanian-bionligeneratingabiomedicalnlidatasetusinglexicosemanticconstraintsforadversarialexamples-2022', 'https://paperswithcode.com/paper/bionli-generating-a-biomedical-nli-dataset', event);\">\n    BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bastan, M.; Surdeanu, M.;  and Balasubramanian, N.\n</span>\n\n  \n\n</span>\n\n  In <i>Findings of the Association for Computational Linguistics: EMNLP 2022</i>,  2022. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://paperswithcode.com/paper/bionli-generating-a-biomedical-nli-dataset\"\n     onclick=\"log_download('bastan-surdeanu-balasubramanian-bionligeneratingabiomedicalnlidatasetusinglexicosemanticconstraintsforadversarialexamples-2022', 'https://paperswithcode.com/paper/bionli-generating-a-biomedical-nli-dataset', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bastan-surdeanu-balasubramanian-bionligeneratingabiomedicalnlidatasetusinglexicosemanticconstraintsforadversarialexamples-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>6 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bastan-surdeanu-balasubramanian-bionligeneratingabiomedicalnlidatasetusinglexicosemanticconstraintsforadversarialexamples-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{bastan-etal-2022-bionli,\n    title = &quot;BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples&quot;,\n    author = &quot;Bastan, Mohaddeseh and Surdeanu, Mihai and Balasubramanian, Niranjan &quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2022&quot;,\n    year = &quot;2022&quot;,\n    url = &quot;https://paperswithcode.com/paper/bionli-generating-a-biomedical-nli-dataset&quot;,\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kwak-israelsen-morrison-bambauer-surdeanu-validityassessmentoflegalwillstatementsasnaturallanguageinference-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/kwak2022.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kwak-israelsen-morrison-bambauer-surdeanu-validityassessmentoflegalwillstatementsasnaturallanguageinference-2022', 'http://clulab.org/papers/kwak2022.pdf', event);\">\n    Validity Assessment of Legal Will Statements as Natural Language Inference.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kwak, A. S.; Israelsen, J. O.; Morrison, C. T.; Bambauer, D. E.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Findings of the Association for Computational Linguistics: EMNLP 2022</i>,  2022. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/kwak2022.pdf\"\n     onclick=\"log_download('kwak-israelsen-morrison-bambauer-surdeanu-validityassessmentoflegalwillstatementsasnaturallanguageinference-2022', 'http://clulab.org/papers/kwak2022.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Validity Assessment of Legal Will Statements as Natural Language Inference [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kwak-israelsen-morrison-bambauer-surdeanu-validityassessmentoflegalwillstatementsasnaturallanguageinference-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kwak-israelsen-morrison-bambauer-surdeanu-validityassessmentoflegalwillstatementsasnaturallanguageinference-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kwak-etal-2022-legalnli,\n    title = &quot;Validity Assessment of Legal Will Statements as Natural Language Inference&quot;,\n    author = &quot;Kwak, Alice S. and Israelsen, Jacob O. and Morrison, Clayton T. and Bambauer, Derek E. and Surdeanu, Mihai&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2022&quot;,\n    year = &quot;2022&quot;,\n    url = &quot;http://clulab.org/papers/kwak2022.pdf&quot;,\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bethard-weneedtotalkaboutrandomseeds-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/2210.13393\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bethard-weneedtotalkaboutrandomseeds-2022', 'https://arxiv.org/abs/2210.13393', event);\">\n    We need to talk about random seeds.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bethard, S.\n</span>\n\n  \n\n</span>\n\n  October 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/2210.13393\"\n     onclick=\"log_download('bethard-weneedtotalkaboutrandomseeds-2022', 'https://arxiv.org/abs/2210.13393', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"We need to talk about random seeds [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.48550/ARXIV.2210.13393\"\n     onclick=\"log_download('bethard-weneedtotalkaboutrandomseeds-2022', 'http://doi.org/10.48550/ARXIV.2210.13393', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bethard-weneedtotalkaboutrandomseeds-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>6 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bethard-weneedtotalkaboutrandomseeds-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@misc{https://doi.org/10.48550/arxiv.2210.13393,\n  doi = {10.48550/ARXIV.2210.13393},\n  url = {https://arxiv.org/abs/2210.13393},\n  author = {Bethard, Steven},\n  keywords = {machine learning},\n  title = {We need to talk about random seeds},\n  organization = {arXiv},\n  year = {2022},\n  month = oct,\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rains-harwood-shmargad-kenski-coe-bethard-engagementwithpartisanrussiantrolltweetsduringthe2016uspresidentialelectionasocialidentityperspective-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1093/joc/jqac037\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rains-harwood-shmargad-kenski-coe-bethard-engagementwithpartisanrussiantrolltweetsduringthe2016uspresidentialelectionasocialidentityperspective-2022', 'https://doi.org/10.1093/joc/jqac037', event);\">\n    Engagement with partisan Russian troll tweets during the 2016 U.S. presidential election: a social identity perspective.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rains, S. A; Harwood, J.; Shmargad, Y.; Kenski, K.; Coe, K.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Communication</i>, 73(1): 38-48. 12 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1093/joc/jqac037\"\n     onclick=\"log_download('rains-harwood-shmargad-kenski-coe-bethard-engagementwithpartisanrussiantrolltweetsduringthe2016uspresidentialelectionasocialidentityperspective-2022', 'https://doi.org/10.1093/joc/jqac037', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Engagement with partisan Russian troll tweets during the 2016 U.S. presidential election: a social identity perspective [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1093/joc/jqac037\"\n     onclick=\"log_download('rains-harwood-shmargad-kenski-coe-bethard-engagementwithpartisanrussiantrolltweetsduringthe2016uspresidentialelectionasocialidentityperspective-2022', 'http://doi.org/10.1093/joc/jqac037', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rains-harwood-shmargad-kenski-coe-bethard-engagementwithpartisanrussiantrolltweetsduringthe2016uspresidentialelectionasocialidentityperspective-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rains-harwood-shmargad-kenski-coe-bethard-engagementwithpartisanrussiantrolltweetsduringthe2016uspresidentialelectionasocialidentityperspective-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{10.1093/joc/jqac037,\n    author = {Rains, Stephen A and Harwood, Jake and Shmargad, Yotam and Kenski, Kate and Coe, Kevin and Bethard, Steven},\n    title = {Engagement with partisan Russian troll tweets during the 2016 U.S. presidential election: a social identity perspective},\n    journal = {Journal of Communication},\n    volume = {73},\n    number = {1},\n    pages = {38-48},\n    year = {2022},\n    month = {12},\n    issn = {0021-9916},\n    doi = {10.1093/joc/jqac037},\n    url = {https://doi.org/10.1093/joc/jqac037},\n    keywords = {social media},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"emerson-baldwin-scott-pidot-lien-currim-bethard-ram-etal-towardnepaperformanceaframeworkforassessingeias-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0195925522001457\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'emerson-baldwin-scott-pidot-lien-currim-bethard-ram-etal-towardnepaperformanceaframeworkforassessingeias-2022', 'https://www.sciencedirect.com/science/article/pii/S0195925522001457', event);\">\n    Toward NEPA performance: A framework for assessing EIAs.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Emerson, K.; Baldwin, E.; Scott, T. A.; Pidot, J. R.; Lien, A. M.; Currim, F.; Bethard, S.; Ram, S.; Miller, M. L.;  and López-Hoffman, L.\n</span>\n\n  \n\n</span>\n\n  <i>Environmental Impact Assessment Review</i>, 97: 106879.  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0195925522001457\"\n     onclick=\"log_download('emerson-baldwin-scott-pidot-lien-currim-bethard-ram-etal-towardnepaperformanceaframeworkforassessingeias-2022', 'https://www.sciencedirect.com/science/article/pii/S0195925522001457', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Toward NEPA performance: A framework for assessing EIAs [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1016/j.eiar.2022.106879\"\n     onclick=\"log_download('emerson-baldwin-scott-pidot-lien-currim-bethard-ram-etal-towardnepaperformanceaframeworkforassessingeias-2022', 'http://doi.org/https://doi.org/10.1016/j.eiar.2022.106879', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/emerson-baldwin-scott-pidot-lien-currim-bethard-ram-etal-towardnepaperformanceaframeworkforassessingeias-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('emerson-baldwin-scott-pidot-lien-currim-bethard-ram-etal-towardnepaperformanceaframeworkforassessingeias-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{EMERSON2022106879,\ntitle = {Toward NEPA performance: A framework for assessing EIAs},\njournal = {Environmental Impact Assessment Review},\nvolume = {97},\npages = {106879},\nyear = {2022},\nissn = {0195-9255},\ndoi = {https://doi.org/10.1016/j.eiar.2022.106879},\nurl = {https://www.sciencedirect.com/science/article/pii/S0195925522001457},\nauthor = {Kirk Emerson and Elizabeth Baldwin and Tyler A. Scott and Justin R. Pidot and Aaron M. Lien and Faiz Currim and Steven Bethard and Sudha Ram and Marc L. Miller and Laura López-Hoffman},\nkeywords = {environmental policy},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"naumann-bethard-roberts-rumshisky-proceedingsofthe4thclinicalnaturallanguageprocessingworkshop-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.clinicalnlp-1.0\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'naumann-bethard-roberts-rumshisky-proceedingsofthe4thclinicalnaturallanguageprocessingworkshop-2022', 'https://aclanthology.org/2022.clinicalnlp-1.0', event);\">\n    Proceedings of the 4th Clinical Natural Language Processing Workshop.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Naumann, T.; Bethard, S.; Roberts, K.;  and Rumshisky, A.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Seattle, WA, July 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.clinicalnlp-1.0\"\n     onclick=\"log_download('naumann-bethard-roberts-rumshisky-proceedingsofthe4thclinicalnaturallanguageprocessingworkshop-2022', 'https://aclanthology.org/2022.clinicalnlp-1.0', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the 4th Clinical Natural Language Processing Workshop [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/naumann-bethard-roberts-rumshisky-proceedingsofthe4thclinicalnaturallanguageprocessingworkshop-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('naumann-bethard-roberts-rumshisky-proceedingsofthe4thclinicalnaturallanguageprocessingworkshop-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{clinicalnlp-2022-clinical,\n    title = &quot;Proceedings of the 4th Clinical Natural Language Processing Workshop&quot;,\n    editor = &quot;Naumann, Tristan  and\n      Bethard, Steven  and\n      Roberts, Kirk  and\n      Rumshisky, Anna&quot;,\n    month = jul,\n    year = &quot;2022&quot;,\n    address = &quot;Seattle, WA&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.clinicalnlp-1.0&quot;,\n    keywords = {health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-miller-bethard-savova-ensemblebasedfinetuningstrategyfortemporalrelationextractionfromtheclinicalnarrative-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.clinicalnlp-1.11\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-miller-bethard-savova-ensemblebasedfinetuningstrategyfortemporalrelationextractionfromtheclinicalnarrative-2022', 'https://aclanthology.org/2022.clinicalnlp-1.11', event);\">\n    Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, L.; Miller, T.; Bethard, S.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 4th Clinical Natural Language Processing Workshop</i>, pages 103–108, Seattle, WA, July 2022. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.clinicalnlp-1.11\"\n     onclick=\"log_download('wang-miller-bethard-savova-ensemblebasedfinetuningstrategyfortemporalrelationextractionfromtheclinicalnarrative-2022', 'https://aclanthology.org/2022.clinicalnlp-1.11', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2022.clinicalnlp-1.11\"\n     onclick=\"log_download('wang-miller-bethard-savova-ensemblebasedfinetuningstrategyfortemporalrelationextractionfromtheclinicalnarrative-2022', 'http://doi.org/10.18653/v1/2022.clinicalnlp-1.11', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-miller-bethard-savova-ensemblebasedfinetuningstrategyfortemporalrelationextractionfromtheclinicalnarrative-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-miller-bethard-savova-ensemblebasedfinetuningstrategyfortemporalrelationextractionfromtheclinicalnarrative-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{wang-etal-2022-ensemble,\n    title = &quot;Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative&quot;,\n    author = &quot;Wang, Lijing  and\n      Miller, Timothy  and\n      Bethard, Steven  and\n      Savova, Guergana&quot;,\n    booktitle = &quot;Proceedings of the 4th Clinical Natural Language Processing Workshop&quot;,\n    month = jul,\n    year = &quot;2022&quot;,\n    address = &quot;Seattle, WA&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.clinicalnlp-1.11&quot;,\n    doi = &quot;10.18653/v1/2022.clinicalnlp-1.11&quot;,\n    pages = &quot;103--108&quot;,\n    keywords = {workshop paper, timelines, information extraction, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"dligach-bethard-miller-savova-exploringtextrepresentationsforgenerativetemporalrelationextraction-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.clinicalnlp-1.12\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'dligach-bethard-miller-savova-exploringtextrepresentationsforgenerativetemporalrelationextraction-2022', 'https://aclanthology.org/2022.clinicalnlp-1.12', event);\">\n    Exploring Text Representations for Generative Temporal Relation Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Dligach, D.; Bethard, S.; Miller, T.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 4th Clinical Natural Language Processing Workshop</i>, pages 109–113, Seattle, WA, July 2022. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.clinicalnlp-1.12\"\n     onclick=\"log_download('dligach-bethard-miller-savova-exploringtextrepresentationsforgenerativetemporalrelationextraction-2022', 'https://aclanthology.org/2022.clinicalnlp-1.12', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Exploring Text Representations for Generative Temporal Relation Extraction [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2022.clinicalnlp-1.12\"\n     onclick=\"log_download('dligach-bethard-miller-savova-exploringtextrepresentationsforgenerativetemporalrelationextraction-2022', 'http://doi.org/10.18653/v1/2022.clinicalnlp-1.12', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/dligach-bethard-miller-savova-exploringtextrepresentationsforgenerativetemporalrelationextraction-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('dligach-bethard-miller-savova-exploringtextrepresentationsforgenerativetemporalrelationextraction-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{dligach-etal-2022-exploring,\n    title = &quot;Exploring Text Representations for Generative Temporal Relation Extraction&quot;,\n    author = &quot;Dligach, Dmitriy  and\n      Bethard, Steven  and\n      Miller, Timothy  and\n      Savova, Guergana&quot;,\n    booktitle = &quot;Proceedings of the 4th Clinical Natural Language Processing Workshop&quot;,\n    month = jul,\n    year = &quot;2022&quot;,\n    address = &quot;Seattle, WA&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.clinicalnlp-1.12&quot;,\n    doi = &quot;10.18653/v1/2022.clinicalnlp-1.12&quot;,\n    pages = &quot;109--113&quot;,\n    keywords = {workshop paper, timelines, information extraction, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"culnan-romerodiaz-bethard-exploringtransformersandtimelagfeaturesforpredictingchangesinmoodovertime-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.clpsych-1.21\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'culnan-romerodiaz-bethard-exploringtransformersandtimelagfeaturesforpredictingchangesinmoodovertime-2022', 'https://aclanthology.org/2022.clpsych-1.21', event);\">\n    Exploring transformers and time lag features for predicting changes in mood over time.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Culnan, J.; Romero Diaz, D.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology</i>, pages 226–231, Seattle, USA, July 2022. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.clpsych-1.21\"\n     onclick=\"log_download('culnan-romerodiaz-bethard-exploringtransformersandtimelagfeaturesforpredictingchangesinmoodovertime-2022', 'https://aclanthology.org/2022.clpsych-1.21', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Exploring transformers and time lag features for predicting changes in mood over time [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2022.clpsych-1.21\"\n     onclick=\"log_download('culnan-romerodiaz-bethard-exploringtransformersandtimelagfeaturesforpredictingchangesinmoodovertime-2022', 'http://doi.org/10.18653/v1/2022.clpsych-1.21', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/culnan-romerodiaz-bethard-exploringtransformersandtimelagfeaturesforpredictingchangesinmoodovertime-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('culnan-romerodiaz-bethard-exploringtransformersandtimelagfeaturesforpredictingchangesinmoodovertime-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{culnan-etal-2022-exploring,\n    title = &quot;Exploring transformers and time lag features for predicting changes in mood over time&quot;,\n    author = &quot;Culnan, John  and\n      Romero Diaz, Damian  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology&quot;,\n    month = jul,\n    year = &quot;2022&quot;,\n    address = &quot;Seattle, USA&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.clpsych-1.21&quot;,\n    doi = &quot;10.18653/v1/2022.clpsych-1.21&quot;,\n    pages = &quot;226--231&quot;,\n    keywords = {shared task paper, social media, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"tasnim-shihab-shahriyarsushmit-bethard-sadeque-teamatreidesatsemeval2022task11onleveragingdataaugmentationandensembletorecognizecomplexnamedentitiesinbangla-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.semeval-1.209\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'tasnim-shihab-shahriyarsushmit-bethard-sadeque-teamatreidesatsemeval2022task11onleveragingdataaugmentationandensembletorecognizecomplexnamedentitiesinbangla-2022', 'https://aclanthology.org/2022.semeval-1.209', event);\">\n    TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Tasnim, N.; Shihab, M. I.; Shahriyar Sushmit, A.; Bethard, S.;  and Sadeque, F.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)</i>, pages 1524–1530, Seattle, United States, July 2022. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.semeval-1.209\"\n     onclick=\"log_download('tasnim-shihab-shahriyarsushmit-bethard-sadeque-teamatreidesatsemeval2022task11onleveragingdataaugmentationandensembletorecognizecomplexnamedentitiesinbangla-2022', 'https://aclanthology.org/2022.semeval-1.209', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2022.semeval-1.209\"\n     onclick=\"log_download('tasnim-shihab-shahriyarsushmit-bethard-sadeque-teamatreidesatsemeval2022task11onleveragingdataaugmentationandensembletorecognizecomplexnamedentitiesinbangla-2022', 'http://doi.org/10.18653/v1/2022.semeval-1.209', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/tasnim-shihab-shahriyarsushmit-bethard-sadeque-teamatreidesatsemeval2022task11onleveragingdataaugmentationandensembletorecognizecomplexnamedentitiesinbangla-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('tasnim-shihab-shahriyarsushmit-bethard-sadeque-teamatreidesatsemeval2022task11onleveragingdataaugmentationandensembletorecognizecomplexnamedentitiesinbangla-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{tasnim-etal-2022-team,\n    title = &quot;{TEAM}-Atreides at {S}em{E}val-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in {B}angla&quot;,\n    author = &quot;Tasnim, Nazia  and\n      Shihab, Md. Istiak  and\n      Shahriyar Sushmit, Asif  and\n      Bethard, Steven  and\n      Sadeque, Farig&quot;,\n    booktitle = &quot;Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)&quot;,\n    month = jul,\n    year = &quot;2022&quot;,\n    address = &quot;Seattle, United States&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.semeval-1.209&quot;,\n    doi = &quot;10.18653/v1/2022.semeval-1.209&quot;,\n    pages = &quot;1524--1530&quot;,\n    keywords = {shared task paper, information extraction},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"song-bethard-uakoatsemeval2022task11dataaugmentationandensemblesforkoreannamedentityrecognition-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.semeval-1.222\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'song-bethard-uakoatsemeval2022task11dataaugmentationandensemblesforkoreannamedentityrecognition-2022', 'https://aclanthology.org/2022.semeval-1.222', event);\">\n    UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Song, H.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)</i>, pages 1608–1612, Seattle, United States, July 2022. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.semeval-1.222\"\n     onclick=\"log_download('song-bethard-uakoatsemeval2022task11dataaugmentationandensemblesforkoreannamedentityrecognition-2022', 'https://aclanthology.org/2022.semeval-1.222', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2022.semeval-1.222\"\n     onclick=\"log_download('song-bethard-uakoatsemeval2022task11dataaugmentationandensemblesforkoreannamedentityrecognition-2022', 'http://doi.org/10.18653/v1/2022.semeval-1.222', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/song-bethard-uakoatsemeval2022task11dataaugmentationandensemblesforkoreannamedentityrecognition-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('song-bethard-uakoatsemeval2022task11dataaugmentationandensemblesforkoreannamedentityrecognition-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{song-bethard-2022-ua,\n    title = &quot;{UA}-{KO} at {S}em{E}val-2022 Task 11: Data Augmentation and Ensembles for {K}orean Named Entity Recognition&quot;,\n    author = &quot;Song, Hyunju  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)&quot;,\n    month = jul,\n    year = &quot;2022&quot;,\n    address = &quot;Seattle, United States&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.semeval-1.222&quot;,\n    doi = &quot;10.18653/v1/2022.semeval-1.222&quot;,\n    pages = &quot;1608--1612&quot;,\n    keywords = {shared task paper, information extraction},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"surdeanu-hungerford-chan-macbride-gyori-zupon-tang-qiu-etal-taxonomybuilderadatadrivenandusercentrictoolforstreamliningtaxonomyconstruction-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.hcinlp-1.1\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'surdeanu-hungerford-chan-macbride-gyori-zupon-tang-qiu-etal-taxonomybuilderadatadrivenandusercentrictoolforstreamliningtaxonomyconstruction-2022', 'https://aclanthology.org/2022.hcinlp-1.1', event);\">\n    Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Surdeanu, M.; Hungerford, J.; Chan, Y. S.; MacBride, J.; Gyori, B.; Zupon, A.; Tang, Z.; Qiu, H.; Min, B.; Zverev, Y.; Hilverman, C.; Thomas, M.; Andrews, W.; Alcock, K.; Zhang, Z.; Reynolds, M.; Bethard, S.; Sharp, R.;  and Laparra, E.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Second Workshop on Bridging Human–Computer Interaction and Natural Language Processing</i>, pages 1–10, Seattle, Washington, July 2022. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.hcinlp-1.1\"\n     onclick=\"log_download('surdeanu-hungerford-chan-macbride-gyori-zupon-tang-qiu-etal-taxonomybuilderadatadrivenandusercentrictoolforstreamliningtaxonomyconstruction-2022', 'https://aclanthology.org/2022.hcinlp-1.1', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2022.hcinlp-1.1\"\n     onclick=\"log_download('surdeanu-hungerford-chan-macbride-gyori-zupon-tang-qiu-etal-taxonomybuilderadatadrivenandusercentrictoolforstreamliningtaxonomyconstruction-2022', 'http://doi.org/10.18653/v1/2022.hcinlp-1.1', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/surdeanu-hungerford-chan-macbride-gyori-zupon-tang-qiu-etal-taxonomybuilderadatadrivenandusercentrictoolforstreamliningtaxonomyconstruction-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('surdeanu-hungerford-chan-macbride-gyori-zupon-tang-qiu-etal-taxonomybuilderadatadrivenandusercentrictoolforstreamliningtaxonomyconstruction-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{surdeanu-etal-2022-taxonomy,\n    title = &quot;Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction&quot;,\n    author = &quot;Surdeanu, Mihai  and\n      Hungerford, John  and\n      Chan, Yee Seng  and\n      MacBride, Jessica  and\n      Gyori, Benjamin  and\n      Zupon, Andrew  and\n      Tang, Zheng  and\n      Qiu, Haoling  and\n      Min, Bonan  and\n      Zverev, Yan  and\n      Hilverman, Caitlin  and\n      Thomas, Max  and\n      Andrews, Walter  and\n      Alcock, Keith  and\n      Zhang, Zeyu  and\n      Reynolds, Michael  and\n      Bethard, Steven  and\n      Sharp, Rebecca  and\n      Laparra, Egoitz&quot;,\n    booktitle = &quot;Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing&quot;,\n    month = jul,\n    year = &quot;2022&quot;,\n    address = &quot;Seattle, Washington&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.hcinlp-1.1&quot;,\n    doi = &quot;10.18653/v1/2022.hcinlp-1.1&quot;,\n    pages = &quot;1--10&quot;,\n    keywords = {demo paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"su-zhao-bethard-acomparisonofstrategiesforsourcefreedomainadaptation-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2022.acl-long.572\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'su-zhao-bethard-acomparisonofstrategiesforsourcefreedomainadaptation-2022', 'https://aclanthology.org/2022.acl-long.572', event);\">\n    A Comparison of Strategies for Source-Free Domain Adaptation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Su, X.; Zhao, Y.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</i>, pages 8352–8367, Dublin, Ireland, May 2022. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 21%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2022.acl-long.572\"\n     onclick=\"log_download('su-zhao-bethard-acomparisonofstrategiesforsourcefreedomainadaptation-2022', 'https://aclanthology.org/2022.acl-long.572', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Comparison of Strategies for Source-Free Domain Adaptation [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/su-zhao-bethard-acomparisonofstrategiesforsourcefreedomainadaptation-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>4 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('su-zhao-bethard-acomparisonofstrategiesforsourcefreedomainadaptation-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{su-etal-2022-comparison,\n    title = &quot;A Comparison of Strategies for Source-Free Domain Adaptation&quot;,\n    author = &quot;Su, Xin  and\n      Zhao, Yiyun  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)&quot;,\n    month = may,\n    year = &quot;2022&quot;,\n    address = &quot;Dublin, Ireland&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2022.acl-long.572&quot;,\n    pages = &quot;8352--8367&quot;,\n    keywords = {domain adaptation},\n    note = {[Acceptance rate 21\\%]},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2021\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2021')\"\n      onkeypress=\"toggleGroup('group_2021')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2021</span>\n      <span class=\"bibbase_group_count\">\n        \n        (21)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"mithun-suntwal-surdeanu-dataandmodeldistillationasasolutionfordomaintransferablefactverification-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/knowledge_disillation.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mithun-suntwal-surdeanu-dataandmodeldistillationasasolutionfordomaintransferablefactverification-2021', 'http://clulab.org/papers/knowledge_disillation.pdf', event);\">\n    Data and Model Distillation as a Solution for Domain-transferable Fact Verification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mithun, M.; Suntwal, S.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</i>,  2021. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/knowledge_disillation.pdf\"\n     onclick=\"log_download('mithun-suntwal-surdeanu-dataandmodeldistillationasasolutionfordomaintransferablefactverification-2021', 'http://clulab.org/papers/knowledge_disillation.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Data and Model Distillation as a Solution for Domain-transferable Fact Verification [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mithun-suntwal-surdeanu-dataandmodeldistillationasasolutionfordomaintransferablefactverification-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>12 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mithun-suntwal-surdeanu-dataandmodeldistillationasasolutionfordomaintransferablefactverification-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{mithun2020modeldis,\n  title={Data and Model Distillation as a Solution for Domain-transferable Fact Verification},\n  author={Mithun, Mitch and Suntwal, Sandeep and Surdeanu, Mihai},\n  booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},\n  url={http://clulab.org/papers/knowledge_disillation.pdf},\n  year={2021}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforrepresentationbasedevidenceretrievalforquestionanswering-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/ecir2021-hybrid.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforrepresentationbasedevidenceretrievalforquestionanswering-2021', 'http://clulab.org/papers/ecir2021-hybrid.pdf', event);\">\n    Using the Hammer Only on Nails: A Hybrid Method for Representation-based Evidence Retrieval for Question Answering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Liang, Z.; Zhao, Y.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of 43rd European Conference on IR Research, ECIR 2021</i>,  2021. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/ecir2021-hybrid.pdf\"\n     onclick=\"log_download('liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforrepresentationbasedevidenceretrievalforquestionanswering-2021', 'http://clulab.org/papers/ecir2021-hybrid.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Using the Hammer Only on Nails: A Hybrid Method for Representation-based Evidence Retrieval for Question Answering [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforrepresentationbasedevidenceretrievalforquestionanswering-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>14 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforrepresentationbasedevidenceretrievalforquestionanswering-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{liang2021using,\n  title={Using the Hammer Only on Nails: A Hybrid Method for Representation-based Evidence Retrieval for Question Answering},\n  author={Liang, Zhengzhong and Zhao, Yiyun and Surdeanu, Mihai},\n  booktitle={Proceedings of 43rd European Conference on IR Research, ECIR 2021},\n  url={http://clulab.org/papers/ecir2021-hybrid.pdf},\n  year={2021}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"tang-surdeanu-interpretabilityrulesjointlybootstrappinganeuralrelationextractorwithanexplanationdecoder-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/trustNLP2021_edin.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'tang-surdeanu-interpretabilityrulesjointlybootstrappinganeuralrelationextractorwithanexplanationdecoder-2021', 'http://clulab.org/papers/trustNLP2021_edin.pdf', event);\">\n    Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractor with an Explanation Decoder.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Tang, Z.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: TrustNLP Workshop</i>,  2021. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/trustNLP2021_edin.pdf\"\n     onclick=\"log_download('tang-surdeanu-interpretabilityrulesjointlybootstrappinganeuralrelationextractorwithanexplanationdecoder-2021', 'http://clulab.org/papers/trustNLP2021_edin.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractor with an Explanation Decoder [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/tang-surdeanu-interpretabilityrulesjointlybootstrappinganeuralrelationextractorwithanexplanationdecoder-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>23 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('tang-surdeanu-interpretabilityrulesjointlybootstrappinganeuralrelationextractorwithanexplanationdecoder-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{zheng-tang-2021-edin,\n    title = &quot;Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractor with an Explanation Decoder&quot;,\n    author = &quot;Tang, Zheng and Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: TrustNLP Workshop&quot;,\n    year = &quot;2021&quot;,\n    url = &quot;http://clulab.org/papers/trustNLP2021_edin.pdf&quot;\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"culnan-park-krishnaswamy-sharp-memyselfandireeffectsofautomatictranscriptionqualityonemotionsarcasmandpersonalitydetection-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2021.wassa-1.26\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'culnan-park-krishnaswamy-sharp-memyselfandireeffectsofautomatictranscriptionqualityonemotionsarcasmandpersonalitydetection-2021', 'https://www.aclweb.org/anthology/2021.wassa-1.26', event);\">\n    Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Culnan, J.; Park, S.; Krishnaswamy, M.;  and Sharp, R.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis</i>, pages 250–256, April 2021. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2021.wassa-1.26\"\n     onclick=\"log_download('culnan-park-krishnaswamy-sharp-memyselfandireeffectsofautomatictranscriptionqualityonemotionsarcasmandpersonalitydetection-2021', 'https://www.aclweb.org/anthology/2021.wassa-1.26', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/culnan-park-krishnaswamy-sharp-memyselfandireeffectsofautomatictranscriptionqualityonemotionsarcasmandpersonalitydetection-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('culnan-park-krishnaswamy-sharp-memyselfandireeffectsofautomatictranscriptionqualityonemotionsarcasmandpersonalitydetection-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{culnan-etal-2021-ire,\n    title = &quot;Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection&quot;,\n    author = &quot;Culnan, John  and\n      Park, Seongjin  and\n      Krishnaswamy, Meghavarshini  and\n      Sharp, Rebecca&quot;,\n    booktitle = &quot;Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis&quot;,\n    month = apr,\n    year = &quot;2021&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2021.wassa-1.26&quot;,\n    pages = &quot;250--256&quot;\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"van-yadav-surdeanu-cheapandgoodsimpleandeffectivedataaugmentationforlowresourcemachinereading-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/2106.04134.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'van-yadav-surdeanu-cheapandgoodsimpleandeffectivedataaugmentationforlowresourcemachinereading-2021', 'https://arxiv.org/pdf/2106.04134.pdf', event);\">\n    Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Van, H.; Yadav, V.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  <i>ArXiv</i>, abs/2106.04134.  2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/2106.04134.pdf\"\n     onclick=\"log_download('van-yadav-surdeanu-cheapandgoodsimpleandeffectivedataaugmentationforlowresourcemachinereading-2021', 'https://arxiv.org/pdf/2106.04134.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/van-yadav-surdeanu-cheapandgoodsimpleandeffectivedataaugmentationforlowresourcemachinereading-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('van-yadav-surdeanu-cheapandgoodsimpleandeffectivedataaugmentationforlowresourcemachinereading-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Van2021CheapAG,\n  title={Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading},\n  author={Hoang Van and Vikas Yadav and M. Surdeanu},\n  journal={ArXiv},\n  year={2021},\n  volume={abs/2106.04134},\n  url={https://arxiv.org/pdf/2106.04134.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mithun-suntwal-surdeanu-studentswhostudytogetherlearnbetterontheimportanceofcollectiveknowledgedistillationfordomaintransferinfactverification-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2021.emnlp-main.558.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mithun-suntwal-surdeanu-studentswhostudytogetherlearnbetterontheimportanceofcollectiveknowledgedistillationfordomaintransferinfactverification-2021', 'https://aclanthology.org/2021.emnlp-main.558.pdf', event);\">\n    Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mithun, M. P.; Suntwal, S.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing</i>, pages 6968–6973,  2021. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2021.emnlp-main.558.pdf\"\n     onclick=\"log_download('mithun-suntwal-surdeanu-studentswhostudytogetherlearnbetterontheimportanceofcollectiveknowledgedistillationfordomaintransferinfactverification-2021', 'https://aclanthology.org/2021.emnlp-main.558.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mithun-suntwal-surdeanu-studentswhostudytogetherlearnbetterontheimportanceofcollectiveknowledgedistillationfordomaintransferinfactverification-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mithun-suntwal-surdeanu-studentswhostudytogetherlearnbetterontheimportanceofcollectiveknowledgedistillationfordomaintransferinfactverification-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{mithun2021students,\n  title={Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification},\n  author={Mithun, Mitch Paul and Suntwal, Sandeep and Surdeanu, Mihai},\n  booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},\n  pages={6968--6973},\n  year={2021},\n  url={https://aclanthology.org/2021.emnlp-main.558.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"van-tang-surdeanu-howmayihelpyouusingneuraltextsimplificationtoimprovedownstreamnlptasks-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2021.findings-emnlp.343\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'van-tang-surdeanu-howmayihelpyouusingneuraltextsimplificationtoimprovedownstreamnlptasks-2021', 'https://aclanthology.org/2021.findings-emnlp.343', event);\">\n    How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Van, H.; Tang, Z.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Findings of the Association for Computational Linguistics: EMNLP 2021</i>, pages 4074–4080, Punta Cana, Dominican Republic, November 2021. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2021.findings-emnlp.343\"\n     onclick=\"log_download('van-tang-surdeanu-howmayihelpyouusingneuraltextsimplificationtoimprovedownstreamnlptasks-2021', 'https://aclanthology.org/2021.findings-emnlp.343', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/van-tang-surdeanu-howmayihelpyouusingneuraltextsimplificationtoimprovedownstreamnlptasks-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>9 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('van-tang-surdeanu-howmayihelpyouusingneuraltextsimplificationtoimprovedownstreamnlptasks-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{van-etal-2021-may-help,\n    title = &quot;How May {I} Help You? Using Neural Text Simplification to Improve Downstream {NLP} Tasks&quot;,\n    author = &quot;Van, Hoang  and\n      Tang, Zheng  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Findings of the Association for Computational Linguistics: EMNLP 2021&quot;,\n    month = nov,\n    year = &quot;2021&quot;,\n    address = &quot;Punta Cana, Dominican Republic&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2021.findings-emnlp.343&quot;,\n    pages = &quot;4074--4080&quot;,\n    abstract = &quot;The general goal of text simplification (TS) is to reduce text complexity for human consumption. In this paper, we investigate another potential use of neural TS: assisting machines performing natural language processing (NLP) tasks. We evaluate the use of neural TS in two ways: simplifying input texts at prediction time and augmenting data to provide machines with additional information during training. We demonstrate that the latter scenario provides positive effects on machine performance on two separate datasets. In particular, the latter use of TS improves the performances of LSTM (1.82{--}1.98{\\%}) and SpanBERT (0.7{--}1.3{\\%}) extractors on TACRED, a complex, large-scale, real-world relation extraction task. Further, the same setting yields improvements of up to 0.65{\\%} matched and 0.62{\\%} mismatched accuracies for a BERT text classifier on MNLI, a practical natural language inference dataset.&quot;,\n}\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The general goal of text simplification (TS) is to reduce text complexity for human consumption. In this paper, we investigate another potential use of neural TS: assisting machines performing natural language processing (NLP) tasks. We evaluate the use of neural TS in two ways: simplifying input texts at prediction time and augmenting data to provide machines with additional information during training. We demonstrate that the latter scenario provides positive effects on machine performance on two separate datasets. In particular, the latter use of TS improves the performances of LSTM (1.82–1.98%) and SpanBERT (0.7–1.3%) extractors on TACRED, a complex, large-scale, real-world relation extraction task. Further, the same setting yields improvements of up to 0.65% matched and 0.62% mismatched accuracies for a BERT text classifier on MNLI, a practical natural language inference dataset.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"noriegaatala-lovett-morrison-surdeanu-neuralarchitecturesforbiologicalintersentencerelationextraction-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Neural Architectures for Biological Inter-Sentence Relation Extraction.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Noriega-Atala, E.; Lovett, P. M.; Morrison, C. T.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n   2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/noriegaatala-lovett-morrison-surdeanu-neuralarchitecturesforbiologicalintersentencerelationextraction-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('noriegaatala-lovett-morrison-surdeanu-neuralarchitecturesforbiologicalintersentencerelationextraction-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@misc{noriegaatala2021neural,\n      title={Neural Architectures for Biological Inter-Sentence Relation Extraction},\n      author={Enrique Noriega-Atala and Peter M. Lovett and Clayton T. Morrison and Mihai Surdeanu},\n      year={2021},\n      eprint={2112.09288},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bertsch-bethard-detectionofpufferyontheenglishwikipedia-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2021.wnut-1.36\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bertsch-bethard-detectionofpufferyontheenglishwikipedia-2021', 'https://aclanthology.org/2021.wnut-1.36', event);\">\n    Detection of Puffery on the English Wikipedia.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bertsch, A.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)</i>, pages 329–333, Online, November 2021. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2021.wnut-1.36\"\n     onclick=\"log_download('bertsch-bethard-detectionofpufferyontheenglishwikipedia-2021', 'https://aclanthology.org/2021.wnut-1.36', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Detection of Puffery on the English Wikipedia [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bertsch-bethard-detectionofpufferyontheenglishwikipedia-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bertsch-bethard-detectionofpufferyontheenglishwikipedia-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{bertsch-bethard-2021-detection,\n    title = &quot;Detection of Puffery on the {E}nglish {W}ikipedia&quot;,\n    author = &quot;Bertsch, Amanda  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)&quot;,\n    month = nov,\n    year = &quot;2021&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2021.wnut-1.36&quot;,\n    pages = &quot;329--333&quot;,\n    keywords = {social media, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"su-bethard-simplifyingannotationofintersectionsintimenormalizationannotationexploringsyntacticandsemanticvalidation-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2021.law-1.11\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'su-bethard-simplifyingannotationofintersectionsintimenormalizationannotationexploringsyntacticandsemanticvalidation-2021', 'https://aclanthology.org/2021.law-1.11', event);\">\n    Simplifying annotation of intersections in time normalization annotation: exploring syntactic and semantic validation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Su, P.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop</i>, pages 106–111, Punta Cana, Dominican Republic, November 2021. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2021.law-1.11\"\n     onclick=\"log_download('su-bethard-simplifyingannotationofintersectionsintimenormalizationannotationexploringsyntacticandsemanticvalidation-2021', 'https://aclanthology.org/2021.law-1.11', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Simplifying annotation of intersections in time normalization annotation: exploring syntactic and semantic validation [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/su-bethard-simplifyingannotationofintersectionsintimenormalizationannotationexploringsyntacticandsemanticvalidation-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('su-bethard-simplifyingannotationofintersectionsintimenormalizationannotationexploringsyntacticandsemanticvalidation-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{su-bethard-2021-simplifying,\n    title = &quot;Simplifying annotation of intersections in time normalization annotation: exploring syntactic and semantic validation&quot;,\n    author = &quot;Su, Peiwen  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop&quot;,\n    month = nov,\n    year = &quot;2021&quot;,\n    address = &quot;Punta Cana, Dominican Republic&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2021.law-1.11&quot;,\n    pages = &quot;106--111&quot;,\n    keywords = {timelines, annotation, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhao-ngui-hallhartley-bethard-dopretrainedtransformersinfertelicitylikehumans-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2021.conll-1.6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhao-ngui-hallhartley-bethard-dopretrainedtransformersinfertelicitylikehumans-2021', 'https://aclanthology.org/2021.conll-1.6', event);\">\n    Do pretrained transformers infer telicity like humans?.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhao, Y.; Ngui, J. G.; Hall Hartley, L.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 25th Conference on Computational Natural Language Learning</i>, pages 72–81, Online, November 2021. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 23%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2021.conll-1.6\"\n     onclick=\"log_download('zhao-ngui-hallhartley-bethard-dopretrainedtransformersinfertelicitylikehumans-2021', 'https://aclanthology.org/2021.conll-1.6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Do pretrained transformers infer telicity like humans? [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhao-ngui-hallhartley-bethard-dopretrainedtransformersinfertelicitylikehumans-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhao-ngui-hallhartley-bethard-dopretrainedtransformersinfertelicitylikehumans-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{zhao-etal-2021-pretrained,\n    title = &quot;Do pretrained transformers infer telicity like humans?&quot;,\n    author = &quot;Zhao, Yiyun  and\n      Ngui, Jian Gang  and\n      Hall Hartley, Lucy  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 25th Conference on Computational Natural Language Learning&quot;,\n    month = nov,\n    year = &quot;2021&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2021.conll-1.6&quot;,\n    pages = &quot;72--81&quot;,\n    keywords = {timelines, machine learning},\n    note = {[Acceptance rate 23\\%]},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rains-shmargad-coe-kenski-bethard-assessingtherussiantrolleffortstosowdiscordontwitterduringthe2016uselection-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1093/hcr/hqab009\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rains-shmargad-coe-kenski-bethard-assessingtherussiantrolleffortstosowdiscordontwitterduringthe2016uselection-2021', 'https://doi.org/10.1093/hcr/hqab009', event);\">\n    Assessing the Russian Troll Efforts to Sow Discord on Twitter during the 2016 U.S. Election.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rains, S. A; Shmargad, Y.; Coe, K.; Kenski, K.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  <i>Human Communication Research</i>, 47(4): 477-486. 08 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1093/hcr/hqab009\"\n     onclick=\"log_download('rains-shmargad-coe-kenski-bethard-assessingtherussiantrolleffortstosowdiscordontwitterduringthe2016uselection-2021', 'https://doi.org/10.1093/hcr/hqab009', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Assessing the Russian Troll Efforts to Sow Discord on Twitter during the 2016 U.S. Election [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1093/hcr/hqab009\"\n     onclick=\"log_download('rains-shmargad-coe-kenski-bethard-assessingtherussiantrolleffortstosowdiscordontwitterduringthe2016uselection-2021', 'http://doi.org/10.1093/hcr/hqab009', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rains-shmargad-coe-kenski-bethard-assessingtherussiantrolleffortstosowdiscordontwitterduringthe2016uselection-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rains-shmargad-coe-kenski-bethard-assessingtherussiantrolleffortstosowdiscordontwitterduringthe2016uselection-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{rains-etal-2021-hcr,\n    author = {Rains, Stephen A and Shmargad, Yotam and Coe, Kevin and Kenski, Kate and Bethard, Steven},\n    title = {Assessing the Russian Troll Efforts to Sow Discord on Twitter during the 2016 U.S. Election},\n    journal = {Human Communication Research},\n    volume = {47},\n    number = {4},\n    pages = {477-486},\n    year = {2021},\n    month = {08},\n    issn = {0360-3989},\n    doi = {10.1093/hcr/hqab009},\n    url = {https://doi.org/10.1093/hcr/hqab009},\n    keywords = {social media},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"laparra-su-zhao-uzuner-miller-bethard-semeval2021task10sourcefreedomainadaptationforsemanticprocessing-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2021.semeval-1.42\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'laparra-su-zhao-uzuner-miller-bethard-semeval2021task10sourcefreedomainadaptationforsemanticprocessing-2021', 'https://aclanthology.org/2021.semeval-1.42', event);\">\n    SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Laparra, E.; Su, X.; Zhao, Y.; Uzuner, Ö.; Miller, T.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)</i>, pages 348–356, Online, August 2021. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2021.semeval-1.42\"\n     onclick=\"log_download('laparra-su-zhao-uzuner-miller-bethard-semeval2021task10sourcefreedomainadaptationforsemanticprocessing-2021', 'https://aclanthology.org/2021.semeval-1.42', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2021.semeval-1.42\"\n     onclick=\"log_download('laparra-su-zhao-uzuner-miller-bethard-semeval2021task10sourcefreedomainadaptationforsemanticprocessing-2021', 'http://doi.org/10.18653/v1/2021.semeval-1.42', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/laparra-su-zhao-uzuner-miller-bethard-semeval2021task10sourcefreedomainadaptationforsemanticprocessing-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('laparra-su-zhao-uzuner-miller-bethard-semeval2021task10sourcefreedomainadaptationforsemanticprocessing-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{laparra-etal-2021-semeval,\n    title = &quot;{S}em{E}val-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing&quot;,\n    author = {Laparra, Egoitz  and\n      Su, Xin  and\n      Zhao, Yiyun  and\n      Uzuner, {\\&quot;O}zlem  and\n      Miller, Timothy  and\n      Bethard, Steven},\n    booktitle = &quot;Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)&quot;,\n    month = aug,\n    year = &quot;2021&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2021.semeval-1.42&quot;,\n    doi = &quot;10.18653/v1/2021.semeval-1.42&quot;,\n    pages = &quot;348--356&quot;,\n    keywords = {domain adaptation, negation, timelines, information extraction, health applications, shared task paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"su-zhao-bethard-theuniversityofarizonaatsemeval2021task10applyingselftrainingactivelearninganddataaugmentationtosourcefreedomainadaptation-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2021.semeval-1.56\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'su-zhao-bethard-theuniversityofarizonaatsemeval2021task10applyingselftrainingactivelearninganddataaugmentationtosourcefreedomainadaptation-2021', 'https://aclanthology.org/2021.semeval-1.56', event);\">\n    The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Su, X.; Zhao, Y.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)</i>, pages 458–466, Online, August 2021. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2021.semeval-1.56\"\n     onclick=\"log_download('su-zhao-bethard-theuniversityofarizonaatsemeval2021task10applyingselftrainingactivelearninganddataaugmentationtosourcefreedomainadaptation-2021', 'https://aclanthology.org/2021.semeval-1.56', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2021.semeval-1.56\"\n     onclick=\"log_download('su-zhao-bethard-theuniversityofarizonaatsemeval2021task10applyingselftrainingactivelearninganddataaugmentationtosourcefreedomainadaptation-2021', 'http://doi.org/10.18653/v1/2021.semeval-1.56', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/su-zhao-bethard-theuniversityofarizonaatsemeval2021task10applyingselftrainingactivelearninganddataaugmentationtosourcefreedomainadaptation-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('su-zhao-bethard-theuniversityofarizonaatsemeval2021task10applyingselftrainingactivelearninganddataaugmentationtosourcefreedomainadaptation-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{su-etal-2021-university,\n    title = &quot;The {U}niversity of {A}rizona at {S}em{E}val-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation&quot;,\n    author = &quot;Su, Xin  and\n      Zhao, Yiyun  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)&quot;,\n    month = aug,\n    year = &quot;2021&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://aclanthology.org/2021.semeval-1.56&quot;,\n    doi = &quot;10.18653/v1/2021.semeval-1.56&quot;,\n    pages = &quot;458--466&quot;,\n    keywords = {domain adaptation, negation, timelines, information extraction, health applications, shared task paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"xu-bethard-triplettrainedvectorspaceandsievebasedsearchimprovebiomedicalconceptnormalization-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2021.bionlp-1.2\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'xu-bethard-triplettrainedvectorspaceandsievebasedsearchimprovebiomedicalconceptnormalization-2021', 'https://www.aclweb.org/anthology/2021.bionlp-1.2', event);\">\n    Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Xu, D.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 20th Workshop on Biomedical Language Processing</i>, pages 11–22, Online, June 2021. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2021.bionlp-1.2\"\n     onclick=\"log_download('xu-bethard-triplettrainedvectorspaceandsievebasedsearchimprovebiomedicalconceptnormalization-2021', 'https://www.aclweb.org/anthology/2021.bionlp-1.2', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/xu-bethard-triplettrainedvectorspaceandsievebasedsearchimprovebiomedicalconceptnormalization-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>19 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('xu-bethard-triplettrainedvectorspaceandsievebasedsearchimprovebiomedicalconceptnormalization-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{xu-bethard-2021-triplet,\n    title = &quot;Triplet-Trained Vector Space and Sieve-Based Search Improve Biomedical Concept Normalization&quot;,\n    author = &quot;Xu, Dongfang  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 20th Workshop on Biomedical Language Processing&quot;,\n    month = jun,\n    year = &quot;2021&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2021.bionlp-1.2&quot;,\n    pages = &quot;11--22&quot;,\n    keywords = {term normalization, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lin-miller-dligach-bethard-savova-entitybertentitycentricmaskingstrategyformodelpretrainingfortheclinicaldomain-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2021.bionlp-1.21\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lin-miller-dligach-bethard-savova-entitybertentitycentricmaskingstrategyformodelpretrainingfortheclinicaldomain-2021', 'https://www.aclweb.org/anthology/2021.bionlp-1.21', event);\">\n    EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lin, C.; Miller, T.; Dligach, D.; Bethard, S.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 20th Workshop on Biomedical Language Processing</i>, pages 191–201, Online, June 2021. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2021.bionlp-1.21\"\n     onclick=\"log_download('lin-miller-dligach-bethard-savova-entitybertentitycentricmaskingstrategyformodelpretrainingfortheclinicaldomain-2021', 'https://www.aclweb.org/anthology/2021.bionlp-1.21', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lin-miller-dligach-bethard-savova-entitybertentitycentricmaskingstrategyformodelpretrainingfortheclinicaldomain-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>9 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lin-miller-dligach-bethard-savova-entitybertentitycentricmaskingstrategyformodelpretrainingfortheclinicaldomain-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{lin-etal-2021-entitybert,\n    title = &quot;{E}ntity{BERT}: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain&quot;,\n    author = &quot;Lin, Chen  and\n      Miller, Timothy  and\n      Dligach, Dmitriy  and\n      Bethard, Steven  and\n      Savova, Guergana&quot;,\n    booktitle = &quot;Proceedings of the 20th Workshop on Biomedical Language Processing&quot;,\n    month = jun,\n    year = &quot;2021&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2021.bionlp-1.21&quot;,\n    pages = &quot;191--201&quot;,\n    keywords = {timelines, information extraction, health applications, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"liang-bethard-surdeanu-explainablemultihopverbalreasoningthroughinternalmonologue-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2021.naacl-main.97\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'liang-bethard-surdeanu-explainablemultihopverbalreasoningthroughinternalmonologue-2021', 'https://www.aclweb.org/anthology/2021.naacl-main.97', event);\">\n    Explainable Multi-hop Verbal Reasoning Through Internal Monologue.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Liang, Z.; Bethard, S.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</i>, pages 1225–1250, Online, June 2021. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 26%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2021.naacl-main.97\"\n     onclick=\"log_download('liang-bethard-surdeanu-explainablemultihopverbalreasoningthroughinternalmonologue-2021', 'https://www.aclweb.org/anthology/2021.naacl-main.97', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Explainable Multi-hop Verbal Reasoning Through Internal Monologue [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/liang-bethard-surdeanu-explainablemultihopverbalreasoningthroughinternalmonologue-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>61 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('liang-bethard-surdeanu-explainablemultihopverbalreasoningthroughinternalmonologue-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{liang-etal-2021-explainable,\n    title = &quot;Explainable Multi-hop Verbal Reasoning Through Internal Monologue&quot;,\n    author = &quot;Liang, Zhengzhong  and\n      Bethard, Steven  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies&quot;,\n    month = jun,\n    year = &quot;2021&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2021.naacl-main.97&quot;,\n    pages = &quot;1225--1250&quot;,\n    note = {[Acceptance rate 26\\%]},\n    keywords = {question answering},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-bethard-surdeanu-ifyouwanttogofargotogetherunsupervisedjointcandidateevidenceretrievalformultihopquestionanswering-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2021.naacl-main.363\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-bethard-surdeanu-ifyouwanttogofargotogetherunsupervisedjointcandidateevidenceretrievalformultihopquestionanswering-2021', 'https://www.aclweb.org/anthology/2021.naacl-main.363', event);\">\n    If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.; Bethard, S.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</i>, pages 4571–4581, Online, June 2021. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 26%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2021.naacl-main.363\"\n     onclick=\"log_download('yadav-bethard-surdeanu-ifyouwanttogofargotogetherunsupervisedjointcandidateevidenceretrievalformultihopquestionanswering-2021', 'https://www.aclweb.org/anthology/2021.naacl-main.363', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-bethard-surdeanu-ifyouwanttogofargotogetherunsupervisedjointcandidateevidenceretrievalformultihopquestionanswering-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>23 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-bethard-surdeanu-ifyouwanttogofargotogetherunsupervisedjointcandidateevidenceretrievalformultihopquestionanswering-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{yadav-etal-2021-want,\n    title = &quot;If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering&quot;,\n    author = &quot;Yadav, Vikas  and\n      Bethard, Steven  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies&quot;,\n    month = jun,\n    year = &quot;2021&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2021.naacl-main.363&quot;,\n    pages = &quot;4571--4581&quot;,\n    note = {[Acceptance rate 26\\%]},\n    keywords = {question answering},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"toutanova-rumshisky-zettlemoyer-hakkanitur-beltagy-bethard-cotterell-chakraborty-etal-proceedingsofthe2021conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologies-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2021.naacl-main.0\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'toutanova-rumshisky-zettlemoyer-hakkanitur-beltagy-bethard-cotterell-chakraborty-etal-proceedingsofthe2021conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologies-2021', 'https://www.aclweb.org/anthology/2021.naacl-main.0', event);\">\n    Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Toutanova, K.; Rumshisky, A.; Zettlemoyer, L.; Hakkani-Tur, D.; Beltagy, I.; Bethard, S.; Cotterell, R.; Chakraborty, T.;  and Zhou, Y.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Online, June 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2021.naacl-main.0\"\n     onclick=\"log_download('toutanova-rumshisky-zettlemoyer-hakkanitur-beltagy-bethard-cotterell-chakraborty-etal-proceedingsofthe2021conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologies-2021', 'https://www.aclweb.org/anthology/2021.naacl-main.0', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/toutanova-rumshisky-zettlemoyer-hakkanitur-beltagy-bethard-cotterell-chakraborty-etal-proceedingsofthe2021conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologies-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>10 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('toutanova-rumshisky-zettlemoyer-hakkanitur-beltagy-bethard-cotterell-chakraborty-etal-proceedingsofthe2021conferenceofthenorthamericanchapteroftheassociationforcomputationallinguisticshumanlanguagetechnologies-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{naacl-2021-2021,\n    title = &quot;Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies&quot;,\n    editor = &quot;Toutanova, Kristina  and\n      Rumshisky, Anna  and\n      Zettlemoyer, Luke  and\n      Hakkani-Tur, Dilek  and\n      Beltagy, Iz  and\n      Bethard, Steven  and\n      Cotterell, Ryan  and\n      Chakraborty, Tanmoy  and\n      Zhou, Yichao&quot;,\n    month = jun,\n    year = &quot;2021&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2021.naacl-main.0&quot;,\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"miller-laparra-bethard-domainadaptationinpracticelessonsfromarealworldinformationextractionpipeline-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2021.adaptnlp-1.11\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'miller-laparra-bethard-domainadaptationinpracticelessonsfromarealworldinformationextractionpipeline-2021', 'https://www.aclweb.org/anthology/2021.adaptnlp-1.11', event);\">\n    Domain adaptation in practice: Lessons from a real-world information extraction pipeline.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Miller, T.; Laparra, E.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Second Workshop on Domain Adaptation for NLP</i>, pages 105–110, Kyiv, Ukraine, April 2021. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2021.adaptnlp-1.11\"\n     onclick=\"log_download('miller-laparra-bethard-domainadaptationinpracticelessonsfromarealworldinformationextractionpipeline-2021', 'https://www.aclweb.org/anthology/2021.adaptnlp-1.11', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Domain adaptation in practice: Lessons from a real-world information extraction pipeline [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/miller-laparra-bethard-domainadaptationinpracticelessonsfromarealworldinformationextractionpipeline-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>4 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('miller-laparra-bethard-domainadaptationinpracticelessonsfromarealworldinformationextractionpipeline-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{miller-etal-2021-domain,\n    title = &quot;Domain adaptation in practice: Lessons from a real-world information extraction pipeline&quot;,\n    author = &quot;Miller, Timothy  and\n      Laparra, Egoitz  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the Second Workshop on Domain Adaptation for NLP&quot;,\n    month = apr,\n    year = &quot;2021&quot;,\n    address = &quot;Kyiv, Ukraine&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2021.adaptnlp-1.11&quot;,\n    pages = &quot;105--110&quot;,\n    keywords = {domain adaptation, information extraction, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"gonzlezlpez-bethard-orozco-lpezmonroy-consumercynicismidentificationforspanishreviewsusingaspanishtransformermodel-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6327\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'gonzlezlpez-bethard-orozco-lpezmonroy-consumercynicismidentificationforspanishreviewsusingaspanishtransformermodel-2021', 'http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6327', event);\">\n    Consumer Cynicism Identification for Spanish Reviews using a Spanish Transformer Model.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  González-López, S.; Bethard, S.; Orozco, F. C. E.;  and López-Monroy, A. P.\n</span>\n\n  \n\n</span>\n\n  <i>Procesamiento del Lenguaje Natural</i>, 66(0): 111–120.  2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6327\"\n     onclick=\"log_download('gonzlezlpez-bethard-orozco-lpezmonroy-consumercynicismidentificationforspanishreviewsusingaspanishtransformermodel-2021', 'http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6327', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Consumer Cynicism Identification for Spanish Reviews using a Spanish Transformer Model [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/gonzlezlpez-bethard-orozco-lpezmonroy-consumercynicismidentificationforspanishreviewsusingaspanishtransformermodel-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('gonzlezlpez-bethard-orozco-lpezmonroy-consumercynicismidentificationforspanishreviewsusingaspanishtransformermodel-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{gonzalez-lopez-2021-PLN,\n\tauthor = {Samuel Gonz\\&#x27;{a}lez-L\\&#x27;{o}pez and Steven Bethard and Francisca Cecilia Encinas Orozco and Adri\\i{a}n Pastor L\\&#x27;{o}pez-Monroy},\n\ttitle = {Consumer Cynicism Identification for Spanish Reviews using a Spanish Transformer Model},\n\tjournal = {Procesamiento del Lenguaje Natural},\n\tvolume = {66},\n\tnumber = {0},\n\tyear = {2021},\n\tissn = {1989-7553},\n\turl = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6327},\n\tpages = {111--120},\n\tkeywords = {social media},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2020\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2020')\"\n      onkeypress=\"toggleGroup('group_2020')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2020</span>\n      <span class=\"bibbase_group_count\">\n        \n        (22)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"zupon-rafique-surdeanu-ananalysisofcapsulenetworksforpartofspeechtagginginhighandlowresourcescenarios-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/insights2020-capsnet.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zupon-rafique-surdeanu-ananalysisofcapsulenetworksforpartofspeechtagginginhighandlowresourcescenarios-2020', 'http://clulab.org/papers/insights2020-capsnet.pdf', event);\">\n    An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zupon, A.; Rafique, F.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP</i>,  2020. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/insights2020-capsnet.pdf\"\n     onclick=\"log_download('zupon-rafique-surdeanu-ananalysisofcapsulenetworksforpartofspeechtagginginhighandlowresourcescenarios-2020', 'http://clulab.org/papers/insights2020-capsnet.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zupon-rafique-surdeanu-ananalysisofcapsulenetworksforpartofspeechtagginginhighandlowresourcescenarios-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>10 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zupon-rafique-surdeanu-ananalysisofcapsulenetworksforpartofspeechtagginginhighandlowresourcescenarios-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{zupon2020capsnet,\n  title={An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios},\n  author={Zupon, Andrew and Rafique, Faiz and Surdeanu, Mihai},\n  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP},\n  url={http://clulab.org/papers/insights2020-capsnet.pdf},\n  year={2020}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"liang-surdeanu-dotransformersdreamofinferenceorcanpretrainedgenerativemodelslearnimplicitinferentialrules-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/emnlp2020-can.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'liang-surdeanu-dotransformersdreamofinferenceorcanpretrainedgenerativemodelslearnimplicitinferentialrules-2020', 'http://clulab.org/papers/emnlp2020-can.pdf', event);\">\n    Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Liang, Z.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP</i>,  2020. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/emnlp2020-can.pdf\"\n     onclick=\"log_download('liang-surdeanu-dotransformersdreamofinferenceorcanpretrainedgenerativemodelslearnimplicitinferentialrules-2020', 'http://clulab.org/papers/emnlp2020-can.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules? [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/liang-surdeanu-dotransformersdreamofinferenceorcanpretrainedgenerativemodelslearnimplicitinferentialrules-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>16 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('liang-surdeanu-dotransformersdreamofinferenceorcanpretrainedgenerativemodelslearnimplicitinferentialrules-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{liang2020can,\n  title={Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?},\n  author={Liang, Zhengzhong and Surdeanu, Mihai},\n  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Insights from Negative Results in NLP},\n  url={http://clulab.org/papers/emnlp2020-can.pdf},\n  year={2020}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"van-musa-surdeanu-kobourov-thelanguageoffoodduringthepandemichintsaboutthedietaryeffectsofcovid19-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/2010.07466\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'van-musa-surdeanu-kobourov-thelanguageoffoodduringthepandemichintsaboutthedietaryeffectsofcovid19-2020', 'https://arxiv.org/abs/2010.07466', event);\">\n    The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Van, H.; Musa, A.; Surdeanu, M.;  and Kobourov, S.\n</span>\n\n  \n\n</span>\n\n  <i>arXiv preprint arXiv:2010.07466</i>.  2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/2010.07466\"\n     onclick=\"log_download('van-musa-surdeanu-kobourov-thelanguageoffoodduringthepandemichintsaboutthedietaryeffectsofcovid19-2020', 'https://arxiv.org/abs/2010.07466', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19 [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/van-musa-surdeanu-kobourov-thelanguageoffoodduringthepandemichintsaboutthedietaryeffectsofcovid19-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>20 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('van-musa-surdeanu-kobourov-thelanguageoffoodduringthepandemichintsaboutthedietaryeffectsofcovid19-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{van2020covid,\n  title={The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19},\n  author={Hoang Van and Ahmad Musa and Mihai Surdeanu and Stephen Kobourov},\n  journal={arXiv preprint arXiv:2010.07466},\n  url={https://arxiv.org/abs/2010.07466},\n  year={2020}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforevidenceretrievalforquestionanswering-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/2009.10791\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforevidenceretrievalforquestionanswering-2020', 'https://arxiv.org/abs/2009.10791', event);\">\n    Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Liang, Z.; Zhao, Y.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  <i>arXiv preprint arXiv:2009.10791</i>.  2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/2009.10791\"\n     onclick=\"log_download('liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforevidenceretrievalforquestionanswering-2020', 'https://arxiv.org/abs/2009.10791', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforevidenceretrievalforquestionanswering-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>11 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('liang-zhao-surdeanu-usingthehammeronlyonnailsahybridmethodforevidenceretrievalforquestionanswering-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{liang2020using,\n  title={Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering},\n  author={Liang, Zhengzhong and Zhao, Yiyun and Surdeanu, Mihai},\n  journal={arXiv preprint arXiv:2009.10791},\n  url = &quot;https://arxiv.org/abs/2009.10791&quot;,\n  year={2020}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"vacareanu-barbosa-valenzuelaescarcega-surdeanu-parsingastagging-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/pat.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'vacareanu-barbosa-valenzuelaescarcega-surdeanu-parsingastagging-2020', 'http://clulab.org/papers/pat.pdf', event);\">\n    Parsing as Tagging.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Barbosa, G. C. G.; Valenzuela-Escarcega, M. A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC)</i>,  2020. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/pat.pdf\"\n     onclick=\"log_download('vacareanu-barbosa-valenzuelaescarcega-surdeanu-parsingastagging-2020', 'http://clulab.org/papers/pat.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Parsing as Tagging [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-barbosa-valenzuelaescarcega-surdeanu-parsingastagging-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>31 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-barbosa-valenzuelaescarcega-surdeanu-parsingastagging-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{vacareanu2020parsing,\n    author = {Robert Vacareanu and George C. G. Barbosa and Marco A. Valenzuela-Escarcega and Mihai Surdeanu},\n    title = {Parsing as Tagging},\n    booktitle = {Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC)},\n    year = {2020},\n    url = {http://clulab.org/papers/pat.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"tang-hahnpowell-surdeanu-exploringinterpretabilityineventextractionmultitasklearningofaneuraleventclassifierandanexplanationdecoder-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/aclsrw2020-edin.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'tang-hahnpowell-surdeanu-exploringinterpretabilityineventextractionmultitasklearningofaneuraleventclassifierandanexplanationdecoder-2020', 'http://clulab.org/papers/aclsrw2020-edin.pdf', event);\">\n    Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://zhengtang1120.github.io/publications.html\">Tang, Z.</a>; Hahn-Powell, G.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop</i>, Seattle, United States, July 2020. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/aclsrw2020-edin.pdf\"\n     onclick=\"log_download('tang-hahnpowell-surdeanu-exploringinterpretabilityineventextractionmultitasklearningofaneuraleventclassifierandanexplanationdecoder-2020', 'http://clulab.org/papers/aclsrw2020-edin.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/tang-hahnpowell-surdeanu-exploringinterpretabilityineventextractionmultitasklearningofaneuraleventclassifierandanexplanationdecoder-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>26 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('tang-hahnpowell-surdeanu-exploringinterpretabilityineventextractionmultitasklearningofaneuraleventclassifierandanexplanationdecoder-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{zheng-tang-2019-edin,\n    title = &quot;Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder&quot;,\n    author = &quot;Tang, Zheng and Hahn-Powell, Gustave and Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop&quot;,\n    month = jul,\n    year = &quot;2020&quot;,\n    address = &quot;Seattle, United States&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;http://clulab.org/papers/aclsrw2020-edin.pdf&quot;\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"vacareanu-valenzuelaescarcega-sharp-surdeanu-anunsupervisedmethodforlearningrepresentationsofmultiwordexpressionsforsemanticclassification-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/coling2020-mwe.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'vacareanu-valenzuelaescarcega-sharp-surdeanu-anunsupervisedmethodforlearningrepresentationsofmultiwordexpressionsforsemanticclassification-2020', 'http://clulab.org/papers/coling2020-mwe.pdf', event);\">\n    An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Vacareanu, R.; Valenzuela-Escarcega, M. A.; Sharp, R.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>The 28th International Conference on Computational Linguistics in Barcelona (COLING 2020)</i>,  2020. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/coling2020-mwe.pdf\"\n     onclick=\"log_download('vacareanu-valenzuelaescarcega-sharp-surdeanu-anunsupervisedmethodforlearningrepresentationsofmultiwordexpressionsforsemanticclassification-2020', 'http://clulab.org/papers/coling2020-mwe.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/vacareanu-valenzuelaescarcega-sharp-surdeanu-anunsupervisedmethodforlearningrepresentationsofmultiwordexpressionsforsemanticclassification-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>8 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('vacareanu-valenzuelaescarcega-sharp-surdeanu-anunsupervisedmethodforlearningrepresentationsofmultiwordexpressionsforsemanticclassification-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{vacareanu2020mwe,\n  title={An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification},\n  author={Robert Vacareanu and Marco A. Valenzuela-Escarcega and Rebecca Sharp and Mihai Surdeanu},\n  booktitle={The 28th International Conference on Computational Linguistics in Barcelona (COLING 2020)},\n  url={http://clulab.org/papers/coling2020-mwe.pdf},\n  year={2020}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"alexeeva-sharp-valenzuelaescrcega-kadowaki-pyarelal-morrison-mathalignlinkingformulaidentifierstotheircontextualnaturallanguagedescriptions-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://aclanthology.org/2020.lrec-1.269\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'alexeeva-sharp-valenzuelaescrcega-kadowaki-pyarelal-morrison-mathalignlinkingformulaidentifierstotheircontextualnaturallanguagedescriptions-2020', 'https://aclanthology.org/2020.lrec-1.269', event);\">\n    MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Alexeeva, M.; Sharp, R.; Valenzuela-Escárcega, M. A.; Kadowaki, J.; Pyarelal, A.;  and Morrison, C.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Twelfth Language Resources and Evaluation Conference</i>, pages 2204–2212, Marseille, France, May 2020. European Language Resources Association\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://aclanthology.org/2020.lrec-1.269\"\n     onclick=\"log_download('alexeeva-sharp-valenzuelaescrcega-kadowaki-pyarelal-morrison-mathalignlinkingformulaidentifierstotheircontextualnaturallanguagedescriptions-2020', 'https://aclanthology.org/2020.lrec-1.269', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/alexeeva-sharp-valenzuelaescrcega-kadowaki-pyarelal-morrison-mathalignlinkingformulaidentifierstotheircontextualnaturallanguagedescriptions-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('alexeeva-sharp-valenzuelaescrcega-kadowaki-pyarelal-morrison-mathalignlinkingformulaidentifierstotheircontextualnaturallanguagedescriptions-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{alexeeva-etal-2020-mathalign,\n    title = &quot;{M}ath{A}lign: Linking Formula Identifiers to their Contextual Natural Language Descriptions&quot;,\n    author = &quot;Alexeeva, Maria  and\n      Sharp, Rebecca  and\n      Valenzuela-Esc{\\&#x27;a}rcega, Marco A.  and\n      Kadowaki, Jennifer  and\n      Pyarelal, Adarsh  and\n      Morrison, Clayton&quot;,\n    booktitle = &quot;Proceedings of the Twelfth Language Resources and Evaluation Conference&quot;,\n    month = may,\n    year = &quot;2020&quot;,\n    address = &quot;Marseille, France&quot;,\n    publisher = &quot;European Language Resources Association&quot;,\n    url = &quot;https://aclanthology.org/2020.lrec-1.269&quot;,\n    pages = &quot;2204--2212&quot;,\n    abstract = &quot;Extending machine reading approaches to extract mathematical concepts and their descriptions is useful for a variety of tasks, ranging from mathematical information retrieval to increasing accessibility of scientific documents for the visually impaired. This entails segmenting mathematical formulae into identifiers and linking them to their natural language descriptions. We propose a rule-based approach for this task, which extracts LaTeX representations of formula identifiers and links them to their in-text descriptions, given only the original PDF and the location of the formula of interest. We also present a novel evaluation dataset for this task, as well as the tool used to create it.&quot;,\n    language = &quot;English&quot;,\n    ISBN = &quot;979-10-95546-34-4&quot;,\n}\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Extending machine reading approaches to extract mathematical concepts and their descriptions is useful for a variety of tasks, ranging from mathematical information retrieval to increasing accessibility of scientific documents for the visually impaired. This entails segmenting mathematical formulae into identifiers and linking them to their natural language descriptions. We propose a rule-based approach for this task, which extracts LaTeX representations of formula identifiers and links them to their in-text descriptions, given only the original PDF and the location of the formula of interest. We also present a novel evaluation dataset for this task, as well as the tool used to create it.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kim-bethard-ttuiatsemeval2020task11propagandadetectionwithtransferlearningandensembles-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.semeval-1.240\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kim-bethard-ttuiatsemeval2020task11propagandadetectionwithtransferlearningandensembles-2020', 'https://www.aclweb.org/anthology/2020.semeval-1.240', event);\">\n    TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kim, M.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Fourteenth Workshop on Semantic Evaluation</i>, pages 1829–1834, Barcelona (online), December 2020. International Committee for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.semeval-1.240\"\n     onclick=\"log_download('kim-bethard-ttuiatsemeval2020task11propagandadetectionwithtransferlearningandensembles-2020', 'https://www.aclweb.org/anthology/2020.semeval-1.240', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"TTUI at SemEval-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kim-bethard-ttuiatsemeval2020task11propagandadetectionwithtransferlearningandensembles-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>11 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kim-bethard-ttuiatsemeval2020task11propagandadetectionwithtransferlearningandensembles-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kim-bethard-2020-ttui,\n    title = &quot;{TTUI} at {S}em{E}val-2020 Task 11: Propaganda Detection with Transfer Learning and Ensembles&quot;,\n    author = &quot;Kim, Moonsung  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the Fourteenth Workshop on Semantic Evaluation&quot;,\n    month = dec,\n    year = &quot;2020&quot;,\n    address = &quot;Barcelona (online)&quot;,\n    publisher = &quot;International Committee for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.semeval-1.240&quot;,\n    pages = &quot;1829--1834&quot;,\n    keywords = {shared task paper, social media},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"laparra-bethard-adatasetandevaluationframeworkforcomplexgeographicaldescriptionparsing-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.coling-main.81\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'laparra-bethard-adatasetandevaluationframeworkforcomplexgeographicaldescriptionparsing-2020', 'https://www.aclweb.org/anthology/2020.coling-main.81', event);\">\n    A Dataset and Evaluation Framework for Complex Geographical Description Parsing.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Laparra, E.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 28th International Conference on Computational Linguistics</i>, pages 936–948, Barcelona, Spain (Online), December 2020. International Committee on Computational Linguistics\n  <span class=\"note\">[Acceptance rate 35%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.coling-main.81\"\n     onclick=\"log_download('laparra-bethard-adatasetandevaluationframeworkforcomplexgeographicaldescriptionparsing-2020', 'https://www.aclweb.org/anthology/2020.coling-main.81', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Dataset and Evaluation Framework for Complex Geographical Description Parsing [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/laparra-bethard-adatasetandevaluationframeworkforcomplexgeographicaldescriptionparsing-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>20 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('laparra-bethard-adatasetandevaluationframeworkforcomplexgeographicaldescriptionparsing-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{laparra-bethard-2020-dataset,\n    title = &quot;A Dataset and Evaluation Framework for Complex Geographical Description Parsing&quot;,\n    author = &quot;Laparra, Egoitz  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 28th International Conference on Computational Linguistics&quot;,\n    month = dec,\n    year = &quot;2020&quot;,\n    address = &quot;Barcelona, Spain (Online)&quot;,\n    publisher = &quot;International Committee on Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.coling-main.81&quot;,\n    pages = &quot;936--948&quot;,\n    keywords = {locations, information extraction},\n    note = {[Acceptance rate 35\\%]},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rumshisky-roberts-bethard-naumann-proceedingsofthe3rdclinicalnaturallanguageprocessingworkshop-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.clinicalnlp-1.0\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rumshisky-roberts-bethard-naumann-proceedingsofthe3rdclinicalnaturallanguageprocessingworkshop-2020', 'https://www.aclweb.org/anthology/2020.clinicalnlp-1.0', event);\">\n    Proceedings of the 3rd Clinical Natural Language Processing Workshop.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rumshisky, A.; Roberts, K.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Naumann, T.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Online, November 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.clinicalnlp-1.0\"\n     onclick=\"log_download('rumshisky-roberts-bethard-naumann-proceedingsofthe3rdclinicalnaturallanguageprocessingworkshop-2020', 'https://www.aclweb.org/anthology/2020.clinicalnlp-1.0', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the 3rd Clinical Natural Language Processing Workshop [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rumshisky-roberts-bethard-naumann-proceedingsofthe3rdclinicalnaturallanguageprocessingworkshop-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>7 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rumshisky-roberts-bethard-naumann-proceedingsofthe3rdclinicalnaturallanguageprocessingworkshop-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{clinicalnlp-2020-clinical,\n    title = &quot;Proceedings of the 3rd Clinical Natural Language Processing Workshop&quot;,\n    editor = &quot;Rumshisky, Anna  and\n      Roberts, Kirk  and\n      Bethard, Steven  and\n      Naumann, Tristan&quot;,\n    month = nov,\n    year = &quot;2020&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.clinicalnlp-1.0&quot;,\n    keywords = {health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wrightbettner-lin-miller-bethard-dligach-palmer-martin-savova-definingandlearningrefinedtemporalrelationsintheclinicalnarrative-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.louhi-1.12\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wrightbettner-lin-miller-bethard-dligach-palmer-martin-savova-definingandlearningrefinedtemporalrelationsintheclinicalnarrative-2020', 'https://www.aclweb.org/anthology/2020.louhi-1.12', event);\">\n    Defining and Learning Refined Temporal Relations in the Clinical Narrative.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wright-Bettner, K.; Lin, C.; Miller, T.; Bethard, S.; Dligach, D.; Palmer, M.; Martin, J. H.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis</i>, pages 104–114, Online, November 2020. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.louhi-1.12\"\n     onclick=\"log_download('wrightbettner-lin-miller-bethard-dligach-palmer-martin-savova-definingandlearningrefinedtemporalrelationsintheclinicalnarrative-2020', 'https://www.aclweb.org/anthology/2020.louhi-1.12', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Defining and Learning Refined Temporal Relations in the Clinical Narrative [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2020.louhi-1.12\"\n     onclick=\"log_download('wrightbettner-lin-miller-bethard-dligach-palmer-martin-savova-definingandlearningrefinedtemporalrelationsintheclinicalnarrative-2020', 'http://doi.org/10.18653/v1/2020.louhi-1.12', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wrightbettner-lin-miller-bethard-dligach-palmer-martin-savova-definingandlearningrefinedtemporalrelationsintheclinicalnarrative-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wrightbettner-lin-miller-bethard-dligach-palmer-martin-savova-definingandlearningrefinedtemporalrelationsintheclinicalnarrative-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{wright-bettner-etal-2020-defining,\n    title = &quot;Defining and Learning Refined Temporal Relations in the Clinical Narrative&quot;,\n    author = &quot;Wright-Bettner, Kristin  and\n      Lin, Chen  and\n      Miller, Timothy  and\n      Bethard, Steven  and\n      Dligach, Dmitriy  and\n      Palmer, Martha  and\n      Martin, James H.  and\n      Savova, Guergana&quot;,\n    booktitle = &quot;Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis&quot;,\n    month = nov,\n    year = &quot;2020&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.louhi-1.12&quot;,\n    doi = &quot;10.18653/v1/2020.louhi-1.12&quot;,\n    pages = &quot;104--114&quot;,\n    keywords = {annotation, timelines, information extraction, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ozler-kenski-rains-shmargad-coe-bethard-finetuningformultidomainandmultilabeluncivillanguagedetection-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.alw-1.4\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ozler-kenski-rains-shmargad-coe-bethard-finetuningformultidomainandmultilabeluncivillanguagedetection-2020', 'https://www.aclweb.org/anthology/2020.alw-1.4', event);\">\n    Fine-tuning for multi-domain and multi-label uncivil language detection.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ozler, K. B.; Kenski, K.; Rains, S.; Shmargad, Y.; Coe, K.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Fourth Workshop on Online Abuse and Harms</i>, pages 28–33, Online, November 2020. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.alw-1.4\"\n     onclick=\"log_download('ozler-kenski-rains-shmargad-coe-bethard-finetuningformultidomainandmultilabeluncivillanguagedetection-2020', 'https://www.aclweb.org/anthology/2020.alw-1.4', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Fine-tuning for multi-domain and multi-label uncivil language detection [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/2020.alw-1.4\"\n     onclick=\"log_download('ozler-kenski-rains-shmargad-coe-bethard-finetuningformultidomainandmultilabeluncivillanguagedetection-2020', 'http://doi.org/10.18653/v1/2020.alw-1.4', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ozler-kenski-rains-shmargad-coe-bethard-finetuningformultidomainandmultilabeluncivillanguagedetection-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>4 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ozler-kenski-rains-shmargad-coe-bethard-finetuningformultidomainandmultilabeluncivillanguagedetection-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{ozler-etal-2020-fine,\n    title = &quot;Fine-tuning for multi-domain and multi-label uncivil language detection&quot;,\n    author = &quot;Ozler, Kadir Bulut  and\n      Kenski, Kate  and\n      Rains, Steve  and\n      Shmargad, Yotam  and\n      Coe, Kevin  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the Fourth Workshop on Online Abuse and Harms&quot;,\n    month = nov,\n    year = &quot;2020&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.alw-1.4&quot;,\n    doi = &quot;10.18653/v1/2020.alw-1.4&quot;,\n    pages = &quot;28--33&quot;,\n    keywords = {social media, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-bethard-surdeanu-havingyourcakeandeatingittootrainingneuralretrievalforlanguageinferencewithoutlosinglexicalmatch-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1145/3397271.3401311\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-bethard-surdeanu-havingyourcakeandeatingittootrainingneuralretrievalforlanguageinferencewithoutlosinglexicalmatch-2020', 'https://doi.org/10.1145/3397271.3401311', event);\">\n    Having Your Cake and Eating It Too: Training Neural Retrieval for Language Inference without Losing Lexical Match.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval</i>, of <i>SIGIR '20</i>, pages 1625–1628, New York, NY, USA, 7 2020. Association for Computing Machinery\n  <span class=\"note\">[Acceptance rate 26%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1145/3397271.3401311\"\n     onclick=\"log_download('yadav-bethard-surdeanu-havingyourcakeandeatingittootrainingneuralretrievalforlanguageinferencewithoutlosinglexicalmatch-2020', 'https://doi.org/10.1145/3397271.3401311', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Having Your Cake and Eating It Too: Training Neural Retrieval for Language Inference without Losing Lexical Match [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3397271.3401311\"\n     onclick=\"log_download('yadav-bethard-surdeanu-havingyourcakeandeatingittootrainingneuralretrievalforlanguageinferencewithoutlosinglexicalmatch-2020', 'http://doi.org/10.1145/3397271.3401311', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-bethard-surdeanu-havingyourcakeandeatingittootrainingneuralretrievalforlanguageinferencewithoutlosinglexicalmatch-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>16 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-bethard-surdeanu-havingyourcakeandeatingittootrainingneuralretrievalforlanguageinferencewithoutlosinglexicalmatch-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{10.1145/3397271.3401311,\nauthor = {Yadav, Vikas and Bethard, Steven and Surdeanu, Mihai},\ntitle = {Having Your Cake and Eating It Too: Training Neural Retrieval for Language Inference without Losing Lexical Match},\nyear = {2020},\nmonth = {7},\nisbn = {9781450380164},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3397271.3401311},\ndoi = {10.1145/3397271.3401311},\nbooktitle = {Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},\npages = {1625--1628},\nnumpages = {4},\nlocation = {Virtual Event, China},\nseries = {SIGIR &#x27;20},\nkeywords = {question answering},\nnote = {[Acceptance rate 26\\%]},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"xu-gopale-zhang-brown-begoli-bethard-unifiedmedicallanguagesystemresourcesimprovesievebasedgenerationandbidirectionalencoderrepresentationsfromtransformersbertbasedrankingforconceptnormalization-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1093/jamia/ocaa080\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'xu-gopale-zhang-brown-begoli-bethard-unifiedmedicallanguagesystemresourcesimprovesievebasedgenerationandbidirectionalencoderrepresentationsfromtransformersbertbasedrankingforconceptnormalization-2020', 'https://doi.org/10.1093/jamia/ocaa080', event);\">\n    Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Xu, D.; Gopale, M.; Zhang, J.; Brown, K.; Begoli, E.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Journal of the American Medical Informatics Association</i>. 07 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1093/jamia/ocaa080\"\n     onclick=\"log_download('xu-gopale-zhang-brown-begoli-bethard-unifiedmedicallanguagesystemresourcesimprovesievebasedgenerationandbidirectionalencoderrepresentationsfromtransformersbertbasedrankingforconceptnormalization-2020', 'https://doi.org/10.1093/jamia/ocaa080', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1093/jamia/ocaa080\"\n     onclick=\"log_download('xu-gopale-zhang-brown-begoli-bethard-unifiedmedicallanguagesystemresourcesimprovesievebasedgenerationandbidirectionalencoderrepresentationsfromtransformersbertbasedrankingforconceptnormalization-2020', 'http://doi.org/10.1093/jamia/ocaa080', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/xu-gopale-zhang-brown-begoli-bethard-unifiedmedicallanguagesystemresourcesimprovesievebasedgenerationandbidirectionalencoderrepresentationsfromtransformersbertbasedrankingforconceptnormalization-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>7 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('xu-gopale-zhang-brown-begoli-bethard-unifiedmedicallanguagesystemresourcesimprovesievebasedgenerationandbidirectionalencoderrepresentationsfromtransformersbertbasedrankingforconceptnormalization-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{xu-etal-2020-unified,\n    author = {Xu, Dongfang and Gopale, Manoj and Zhang, Jiacheng and Brown, Kris and Begoli, Edmon and Bethard, Steven},\n    title = {Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization},\n    journal = {Journal of the American Medical Informatics Association},\n    year = {2020},\n    month = {07},\n    issn = {1527-974X},\n    doi = {10.1093/jamia/ocaa080},\n    url = {https://doi.org/10.1093/jamia/ocaa080},\n    keywords = {health applications, term normalization},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lin-miller-dligach-sadeque-bethard-savova-abertbasedonepassmultitaskmodelforclinicaltemporalrelationextraction-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.bionlp-1.7\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lin-miller-dligach-sadeque-bethard-savova-abertbasedonepassmultitaskmodelforclinicaltemporalrelationextraction-2020', 'https://www.aclweb.org/anthology/2020.bionlp-1.7', event);\">\n    A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lin, C.; Miller, T.; Dligach, D.; Sadeque, F.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing</i>, pages 70–75, Online, July 2020. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.bionlp-1.7\"\n     onclick=\"log_download('lin-miller-dligach-sadeque-bethard-savova-abertbasedonepassmultitaskmodelforclinicaltemporalrelationextraction-2020', 'https://www.aclweb.org/anthology/2020.bionlp-1.7', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lin-miller-dligach-sadeque-bethard-savova-abertbasedonepassmultitaskmodelforclinicaltemporalrelationextraction-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lin-miller-dligach-sadeque-bethard-savova-abertbasedonepassmultitaskmodelforclinicaltemporalrelationextraction-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{lin-etal-2020-bert,\n    title = &quot;A {BERT}-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction&quot;,\n    author = &quot;Lin, Chen  and\n      Miller, Timothy  and\n      Dligach, Dmitriy  and\n      Sadeque, Farig  and\n      Bethard, Steven  and\n      Savova, Guergana&quot;,\n    booktitle = &quot;Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing&quot;,\n    month = jul,\n    year = &quot;2020&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.bionlp-1.7&quot;,\n    pages = &quot;70--75&quot;,\n    keywords = {workshop paper, health applications, timelines, information extraction},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"gonzlezlpez-bethard-lopezlopez-assistingundergraduatestudentsinwritingspanishmethodologysections-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.bea-1.11\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'gonzlezlpez-bethard-lopezlopez-assistingundergraduatestudentsinwritingspanishmethodologysections-2020', 'https://www.aclweb.org/anthology/2020.bea-1.11', event);\">\n    Assisting Undergraduate Students in Writing Spanish Methodology Sections.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  González-López, S.; Bethard, S.;  and Lopez-Lopez, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications</i>, pages 115–123, Seattle, WA, USA - Online, July 2020. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.bea-1.11\"\n     onclick=\"log_download('gonzlezlpez-bethard-lopezlopez-assistingundergraduatestudentsinwritingspanishmethodologysections-2020', 'https://www.aclweb.org/anthology/2020.bea-1.11', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Assisting Undergraduate Students in Writing Spanish Methodology Sections [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/gonzlezlpez-bethard-lopezlopez-assistingundergraduatestudentsinwritingspanishmethodologysections-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('gonzlezlpez-bethard-lopezlopez-assistingundergraduatestudentsinwritingspanishmethodologysections-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{gonzalez-lopez-etal-2020-assisting,\n    title = &quot;Assisting Undergraduate Students in Writing {S}panish Methodology Sections&quot;,\n    author = &quot;Gonz{\\&#x27;a}lez-L{\\&#x27;o}pez, Samuel  and\n      Bethard, Steven  and\n      Lopez-Lopez, Aurelio&quot;,\n    booktitle = &quot;Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications&quot;,\n    month = jul,\n    year = &quot;2020&quot;,\n    address = &quot;Seattle, WA, USA - Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.bea-1.11&quot;,\n    pages = &quot;115--123&quot;,\n    keywords = {educational applications, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"xu-zhang-bethard-agenerateandrankframeworkwithsemantictyperegularizationforbiomedicalconceptnormalization-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.acl-main.748\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'xu-zhang-bethard-agenerateandrankframeworkwithsemantictyperegularizationforbiomedicalconceptnormalization-2020', 'https://www.aclweb.org/anthology/2020.acl-main.748', event);\">\n    A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Xu, D.; Zhang, Z.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</i>, pages 8452–8464, Online, July 2020. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 23%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.acl-main.748\"\n     onclick=\"log_download('xu-zhang-bethard-agenerateandrankframeworkwithsemantictyperegularizationforbiomedicalconceptnormalization-2020', 'https://www.aclweb.org/anthology/2020.acl-main.748', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/xu-zhang-bethard-agenerateandrankframeworkwithsemantictyperegularizationforbiomedicalconceptnormalization-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>8 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('xu-zhang-bethard-agenerateandrankframeworkwithsemantictyperegularizationforbiomedicalconceptnormalization-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{xu-etal-2020-generate,\n    title = &quot;A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization&quot;,\n    author = &quot;Xu, Dongfang  and\n      Zhang, Zeyu  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics&quot;,\n    month = jul,\n    year = &quot;2020&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.acl-main.748&quot;,\n    pages = &quot;8452--8464&quot;,\n    note = {[Acceptance rate 23\\%]},\n    keywords = {health applications, term normalization},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhao-bethard-howdoesbertsattentionchangewhenyoufinetuneananalysismethodologyandacasestudyinnegationscope-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.acl-main.429\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhao-bethard-howdoesbertsattentionchangewhenyoufinetuneananalysismethodologyandacasestudyinnegationscope-2020', 'https://www.aclweb.org/anthology/2020.acl-main.429', event);\">\n    How does BERT's attention change when you fine-tune? An analysis methodology and a case study in negation scope.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhao, Y.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</i>, pages 4729–4747, Online, July 2020. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 23%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.acl-main.429\"\n     onclick=\"log_download('zhao-bethard-howdoesbertsattentionchangewhenyoufinetuneananalysismethodologyandacasestudyinnegationscope-2020', 'https://www.aclweb.org/anthology/2020.acl-main.429', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"How does BERT&#x27;s attention change when you fine-tune? An analysis methodology and a case study in negation scope [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhao-bethard-howdoesbertsattentionchangewhenyoufinetuneananalysismethodologyandacasestudyinnegationscope-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>6 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhao-bethard-howdoesbertsattentionchangewhenyoufinetuneananalysismethodologyandacasestudyinnegationscope-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{zhao-bethard-2020-berts,\n    title = &quot;How does {BERT}{&#x27;}s attention change when you fine-tune? An analysis methodology and a case study in negation scope&quot;,\n    author = &quot;Zhao, Yiyun  and\n      Bethard, Steven&quot;,\n    booktitle = &quot;Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics&quot;,\n    month = jul,\n    year = &quot;2020&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.acl-main.429&quot;,\n    pages = &quot;4729--4747&quot;,\n    note = {[Acceptance rate 23\\%]},\n    keywords = {negation, machine learning},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-bethard-surdeanu-unsupervisedalignmentbasediterativeevidenceretrievalformultihopquestionanswering-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/2020.acl-main.414\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-bethard-surdeanu-unsupervisedalignmentbasediterativeevidenceretrievalformultihopquestionanswering-2020', 'https://www.aclweb.org/anthology/2020.acl-main.414', event);\">\n    Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</i>, pages 4514–4525, Online, July 2020. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 23%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/2020.acl-main.414\"\n     onclick=\"log_download('yadav-bethard-surdeanu-unsupervisedalignmentbasediterativeevidenceretrievalformultihopquestionanswering-2020', 'https://www.aclweb.org/anthology/2020.acl-main.414', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-bethard-surdeanu-unsupervisedalignmentbasediterativeevidenceretrievalformultihopquestionanswering-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>31 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-bethard-surdeanu-unsupervisedalignmentbasediterativeevidenceretrievalformultihopquestionanswering-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{yadav-etal-2020-unsupervised,\n    title = &quot;Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering&quot;,\n    author = &quot;Yadav, Vikas  and\n      Bethard, Steven  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics&quot;,\n    month = jul,\n    year = &quot;2020&quot;,\n    address = &quot;Online&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/2020.acl-main.414&quot;,\n    pages = &quot;4514--4525&quot;,\n    note = {[Acceptance rate 23\\%]},\n    keywords = {question answering},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"laparra-bethard-miller-rethinkingdomainadaptationformachinelearningoverclinicallanguage-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1093/jamiaopen/ooaa010\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'laparra-bethard-miller-rethinkingdomainadaptationformachinelearningoverclinicallanguage-2020', 'https://doi.org/10.1093/jamiaopen/ooaa010', event);\">\n    Rethinking domain adaptation for machine learning over clinical language.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Laparra, E.; Bethard, S.;  and Miller, T. A\n</span>\n\n  \n\n</span>\n\n  <i>JAMIA Open</i>. 04 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1093/jamiaopen/ooaa010\"\n     onclick=\"log_download('laparra-bethard-miller-rethinkingdomainadaptationformachinelearningoverclinicallanguage-2020', 'https://doi.org/10.1093/jamiaopen/ooaa010', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Rethinking domain adaptation for machine learning over clinical language [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1093/jamiaopen/ooaa010\"\n     onclick=\"log_download('laparra-bethard-miller-rethinkingdomainadaptationformachinelearningoverclinicallanguage-2020', 'http://doi.org/10.1093/jamiaopen/ooaa010', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/laparra-bethard-miller-rethinkingdomainadaptationformachinelearningoverclinicallanguage-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('laparra-bethard-miller-rethinkingdomainadaptationformachinelearningoverclinicallanguage-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{laparra-bethard-miller:2020:JAMIAOpen,\n    author = {Laparra, Egoitz and Bethard, Steven and Miller, Timothy A},\n    title = &quot;{Rethinking domain adaptation for machine learning over clinical language}&quot;,\n    journal = {JAMIA Open},\n    year = {2020},\n    month = {04},\n    issn = {2574-2531},\n    doi = {10.1093/jamiaopen/ooaa010},\n    url = {https://doi.org/10.1093/jamiaopen/ooaa010},\n    keywords = {domain adaptation, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lin-bethard-dligach-sadeque-savova-miller-doesbertneeddomainadaptationforclinicalnegationdetection-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1093/jamia/ocaa001\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lin-bethard-dligach-sadeque-savova-miller-doesbertneeddomainadaptationforclinicalnegationdetection-2020', 'https://doi.org/10.1093/jamia/ocaa001', event);\">\n    Does BERT need domain adaptation for clinical negation detection?.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lin, C.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>; Dligach, D.; Sadeque, F.; Savova, G.;  and Miller, T. A\n</span>\n\n  \n\n</span>\n\n  <i>Journal of the American Medical Informatics Association</i>, 27(4): 584-591. 02 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1093/jamia/ocaa001\"\n     onclick=\"log_download('lin-bethard-dligach-sadeque-savova-miller-doesbertneeddomainadaptationforclinicalnegationdetection-2020', 'https://doi.org/10.1093/jamia/ocaa001', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Does BERT need domain adaptation for clinical negation detection? [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1093/jamia/ocaa001\"\n     onclick=\"log_download('lin-bethard-dligach-sadeque-savova-miller-doesbertneeddomainadaptationforclinicalnegationdetection-2020', 'http://doi.org/10.1093/jamia/ocaa001', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lin-bethard-dligach-sadeque-savova-miller-doesbertneeddomainadaptationforclinicalnegationdetection-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lin-bethard-dligach-sadeque-savova-miller-doesbertneeddomainadaptationforclinicalnegationdetection-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{chen-etal:2020:JAMIA,\n    author = {Lin, Chen and Bethard, Steven and Dligach, Dmitriy and Sadeque, Farig and Savova, Guergana and Miller, Timothy A},\n    title = &quot;{Does BERT need domain adaptation for clinical negation detection?}&quot;,\n    journal = {Journal of the American Medical Informatics Association},\n    volume = {27},\n    number = {4},\n    pages = {584-591},\n    year = {2020},\n    month = {02},\n    issn = {1527-974X},\n    doi = {10.1093/jamia/ocaa001},\n    url = {https://doi.org/10.1093/jamia/ocaa001},\n    keywords = {negation, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2019\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2019')\"\n      onkeypress=\"toggleGroup('group_2019')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2019</span>\n      <span class=\"bibbase_group_count\">\n        \n        (16)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"barbosa-wong-hahnpowell-bell-sharp-valenzuelaescarcega-surdeanu-enablingsearchandcollaborativeassemblyofcausalinteractionsextractedfrommultilingualandmultidomainfreetext-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/NAACL2019_1.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'barbosa-wong-hahnpowell-bell-sharp-valenzuelaescarcega-surdeanu-enablingsearchandcollaborativeassemblyofcausalinteractionsextractedfrommultilingualandmultidomainfreetext-2019', 'http://clulab.org/papers/NAACL2019_1.pdf', event);\">\n    Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Barbosa, G. C.; Wong, Z.; Hahn-Powell, G.; Bell, D.; Sharp, R.; Valenzuela-Escarcega, M. A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT): Software Demonstrations</i>,  2019. \n  <span class=\"note\">This paper received the Best System Demonstration award</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/NAACL2019_1.pdf\"\n     onclick=\"log_download('barbosa-wong-hahnpowell-bell-sharp-valenzuelaescarcega-surdeanu-enablingsearchandcollaborativeassemblyofcausalinteractionsextractedfrommultilingualandmultidomainfreetext-2019', 'http://clulab.org/papers/NAACL2019_1.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/barbosa-wong-hahnpowell-bell-sharp-valenzuelaescarcega-surdeanu-enablingsearchandcollaborativeassemblyofcausalinteractionsextractedfrommultilingualandmultidomainfreetext-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('barbosa-wong-hahnpowell-bell-sharp-valenzuelaescarcega-surdeanu-enablingsearchandcollaborativeassemblyofcausalinteractionsextractedfrommultilingualandmultidomainfreetext-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{barbosa2019,\n    title={Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text},\n    author={Barbosa, George C.G. and Wong, Zechy and Hahn-Powell, Gus and Bell, Dane and Sharp, Rebecca and Valenzuela-Escarcega, Marco A. and Surdeanu, Mihai},\n    booktitle={Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT): Software Demonstrations},\n    year={2019},\n    note={This paper received the Best System Demonstration award},\n    url={http://clulab.org/papers/NAACL2019_1.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"noriegaatala-liang-bachman-morrison-surdeanu-understandingthepolarityofeventsinthebiomedicalliteraturedeeplearningvslinguisticallyinformedmethods-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/polarity19.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'noriegaatala-liang-bachman-morrison-surdeanu-understandingthepolarityofeventsinthebiomedicalliteraturedeeplearningvslinguisticallyinformedmethods-2019', 'http://clulab.org/papers/polarity19.pdf', event);\">\n    Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Noriega-Atala, E.; Liang, Z.; Bachman, J. A.; Morrison, C. T.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications</i>,  2019. NAACL-HLT\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/polarity19.pdf\"\n     onclick=\"log_download('noriegaatala-liang-bachman-morrison-surdeanu-understandingthepolarityofeventsinthebiomedicalliteraturedeeplearningvslinguisticallyinformedmethods-2019', 'http://clulab.org/papers/polarity19.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/noriegaatala-liang-bachman-morrison-surdeanu-understandingthepolarityofeventsinthebiomedicalliteraturedeeplearningvslinguisticallyinformedmethods-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('noriegaatala-liang-bachman-morrison-surdeanu-understandingthepolarityofeventsinthebiomedicalliteraturedeeplearningvslinguisticallyinformedmethods-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@INPROCEEDINGS {polarity2019,\n    author    = &quot;Enrique Noriega-Atala and Zhengzhong Liang and John A. Bachman and Clayton T. Morrison and Mihai Surdeanu&quot;,\n    title     = &quot;Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods&quot;,\n    booktitle = &quot;Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications&quot;,\n    organization={NAACL-HLT},\n    year      = &quot;2019&quot;,\n    url = {http://clulab.org/papers/polarity19.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"luo-nagesh-sharp-surdeanu-semisupervisedteacherstudentarchitectureforrelationextraction-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/meanteacherre19.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'luo-nagesh-sharp-surdeanu-semisupervisedteacherstudentarchitectureforrelationextraction-2019', 'http://clulab.org/papers/meanteacherre19.pdf', event);\">\n    Semi-Supervised Teacher-Student Architecture for Relation Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Luo, F.; Nagesh, A.; Sharp, R.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 3rd Workshop on Structured Prediction for Natural Language Processing</i>,  2019. NAACL-HLT\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/meanteacherre19.pdf\"\n     onclick=\"log_download('luo-nagesh-sharp-surdeanu-semisupervisedteacherstudentarchitectureforrelationextraction-2019', 'http://clulab.org/papers/meanteacherre19.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Semi-Supervised Teacher-Student Architecture for Relation Extraction [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/luo-nagesh-sharp-surdeanu-semisupervisedteacherstudentarchitectureforrelationextraction-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('luo-nagesh-sharp-surdeanu-semisupervisedteacherstudentarchitectureforrelationextraction-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{fan2019MTre,\ntitle={Semi-Supervised Teacher-Student Architecture for Relation Extraction},\nauthor={Fan Luo and\nAjay Nagesh and\nRebecca Sharp and\nMihai Surdeanu},\nbooktitle = {Proceedings of the 3rd Workshop on Structured Prediction for Natural Language Processing},\nyear={2019},\norganization={NAACL-HLT},\nurl={http://clulab.org/papers/meanteacherre19.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zupon-alexeeva-valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/naaclhlt2019-emboot.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zupon-alexeeva-valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2019', 'http://clulab.org/papers/naaclhlt2019-emboot.pdf', event);\">\n    Lightly Supervised Representation Learning with Global Interpretability.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zupon, A.; Alexeeva, M.; Valenzuela-Escarcega, M. A.; Nagesh, A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 3rd Workshop on Structured Prediction for Natural Language Processing</i>,  2019. NAACL-HLT\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/naaclhlt2019-emboot.pdf\"\n     onclick=\"log_download('zupon-alexeeva-valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2019', 'http://clulab.org/papers/naaclhlt2019-emboot.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Lightly Supervised Representation Learning with Global Interpretability [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zupon-alexeeva-valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zupon-alexeeva-valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@INPROCEEDINGS {naaclhlt2019-emboot,\n    author       = &quot;Andrew Zupon and Maria Alexeeva and Marco A. Valenzuela-Escarcega and Ajay Nagesh and Mihai Surdeanu&quot;,\n    title        = &quot;Lightly Supervised Representation Learning with Global Interpretability&quot;,\n    booktitle    = &quot;Proceedings of the 3rd Workshop on Structured Prediction for Natural Language Processing&quot;,\n    year         = &quot;2019&quot;,\n    organization = &quot;NAACL-HLT&quot;,\n    url = {http://clulab.org/papers/naaclhlt2019-emboot.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"van-musa-chen-surdeanu-kobourov-whatdoesthelanguageoffoodssayaboutus-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/louhi2019.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'van-musa-chen-surdeanu-kobourov-whatdoesthelanguageoffoodssayaboutus-2019', 'http://clulab.org/papers/louhi2019.pdf', event);\">\n    What does the language of foods say about us?.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Van, H.; Musa, A.; Chen, H.; Surdeanu, M.;  and Kobourov, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI)</i>,  2019. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/louhi2019.pdf\"\n     onclick=\"log_download('van-musa-chen-surdeanu-kobourov-whatdoesthelanguageoffoodssayaboutus-2019', 'http://clulab.org/papers/louhi2019.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"What does the language of foods say about us? [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/louhi2019.pptx\"\n     onclick=\"log_download('van-musa-chen-surdeanu-kobourov-whatdoesthelanguageoffoodssayaboutus-2019', 'http://clulab.org/papers/louhi2019.pptx', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pptx.svg\"\n\t     alt=\"What does the language of foods say about us? [pptx]\"\n       title=\" slides\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/van-musa-chen-surdeanu-kobourov-whatdoesthelanguageoffoodssayaboutus-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('van-musa-chen-surdeanu-kobourov-whatdoesthelanguageoffoodssayaboutus-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{van2019language,\n  title\t    = {What does the language of foods say about us?},\n  author    = {Van, Hoang and Musa, Ahmad and Chen, Hang and Surdeanu, Mihai and Kobourov, Stephen},\n  booktitle = {Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI)},\n  year      = {2019},\n  url = {http://clulab.org/papers/louhi2019.pdf},\n  url_Slides = {http://clulab.org/papers/louhi2019.pptx}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"suntwal-paul-sharp-surdeanu-ontheimportanceofdelexicalizationforfactverification-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/D19-1340\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'suntwal-paul-sharp-surdeanu-ontheimportanceofdelexicalizationforfactverification-2019', 'https://www.aclweb.org/anthology/D19-1340', event);\">\n    On the Importance of Delexicalization for Fact Verification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Suntwal, S.; Paul, M.; Sharp, R.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)</i>, pages 3413-3418, Hong Kong, China, November 2019. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/D19-1340\"\n     onclick=\"log_download('suntwal-paul-sharp-surdeanu-ontheimportanceofdelexicalizationforfactverification-2019', 'https://www.aclweb.org/anthology/D19-1340', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"On the Importance of Delexicalization for Fact Verification [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/D19-1340\"\n     onclick=\"log_download('suntwal-paul-sharp-surdeanu-ontheimportanceofdelexicalizationforfactverification-2019', 'http://doi.org/10.18653/v1/D19-1340', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/suntwal-paul-sharp-surdeanu-ontheimportanceofdelexicalizationforfactverification-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>10 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('suntwal-paul-sharp-surdeanu-ontheimportanceofdelexicalizationforfactverification-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{suntwal-etal-2019-importance,\n    title = &quot;On the Importance of Delexicalization for Fact Verification&quot;,\n    author = &quot;Suntwal, Sandeep  and\n      Paul, Mithun  and\n      Sharp, Rebecca  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)&quot;,\n    month = nov,\n    year = &quot;2019&quot;,\n    address = &quot;Hong Kong, China&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/D19-1340&quot;,\n    doi = &quot;10.18653/v1/D19-1340&quot;,\n    pages = &quot;3413-3418&quot;,\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-bethard-surdeanu-quickandnotsodirtyunsupervisedselectionofjustificationsentencesformultihopquestionanswering-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aclweb.org/anthology/D19-1260\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-bethard-surdeanu-quickandnotsodirtyunsupervisedselectionofjustificationsentencesformultihopquestionanswering-2019', 'https://www.aclweb.org/anthology/D19-1260', event);\">\n    Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)</i>, pages 2578–2589, Hong Kong, China, November 2019. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 23%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.aclweb.org/anthology/D19-1260\"\n     onclick=\"log_download('yadav-bethard-surdeanu-quickandnotsodirtyunsupervisedselectionofjustificationsentencesformultihopquestionanswering-2019', 'https://www.aclweb.org/anthology/D19-1260', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.18653/v1/D19-1260\"\n     onclick=\"log_download('yadav-bethard-surdeanu-quickandnotsodirtyunsupervisedselectionofjustificationsentencesformultihopquestionanswering-2019', 'http://doi.org/10.18653/v1/D19-1260', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-bethard-surdeanu-quickandnotsodirtyunsupervisedselectionofjustificationsentencesformultihopquestionanswering-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>7 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-bethard-surdeanu-quickandnotsodirtyunsupervisedselectionofjustificationsentencesformultihopquestionanswering-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{yadav-etal-2019-quick,\n    title = &quot;Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering&quot;,\n    author = &quot;Yadav, Vikas  and\n      Bethard, Steven  and\n      Surdeanu, Mihai&quot;,\n    booktitle = &quot;Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)&quot;,\n    month = nov,\n    year = &quot;2019&quot;,\n    address = &quot;Hong Kong, China&quot;,\n    publisher = &quot;Association for Computational Linguistics&quot;,\n    url = &quot;https://www.aclweb.org/anthology/D19-1260&quot;,\n    doi = &quot;10.18653/v1/D19-1260&quot;,\n    pages = &quot;2578--2589&quot;,\n    note = {[Acceptance rate 23\\%]},\n    keywords = {question answering},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rumshisky-roberts-bethard-naumann-proceedingsofthe2ndclinicalnaturallanguageprocessingworkshop-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/W19-19\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rumshisky-roberts-bethard-naumann-proceedingsofthe2ndclinicalnaturallanguageprocessingworkshop-2019', 'http://www.aclweb.org/anthology/W19-19', event);\">\n    Proceedings of the 2nd Clinical Natural Language Processing Workshop.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rumshisky, A.; Roberts, K.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Naumann, T.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Minneapolis, Minnesota, USA, 6 2019.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/W19-19\"\n     onclick=\"log_download('rumshisky-roberts-bethard-naumann-proceedingsofthe2ndclinicalnaturallanguageprocessingworkshop-2019', 'http://www.aclweb.org/anthology/W19-19', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the 2nd Clinical Natural Language Processing Workshop [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rumshisky-roberts-bethard-naumann-proceedingsofthe2ndclinicalnaturallanguageprocessingworkshop-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rumshisky-roberts-bethard-naumann-proceedingsofthe2ndclinicalnaturallanguageprocessingworkshop-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{W19-19:2019,\n  editor    = {Anna Rumshisky  and  Kirk Roberts  and  Steven Bethard  and  Tristan Naumann},\n  title     = {Proceedings of the 2nd Clinical Natural Language Processing Workshop},\n  month     = {6},\n  year      = {2019},\n  address   = {Minneapolis, Minnesota, USA},\n  publisher = {Association for Computational Linguistics},\n  url       = {http://www.aclweb.org/anthology/W19-19},\n  keywords = {health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bethard-laparra-wang-zhao-alghezi-lien-lpezhoffman-inferringmissingmetadatafromenvironmentalpolicytexts-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/W19-2506\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bethard-laparra-wang-zhao-alghezi-lien-lpezhoffman-inferringmissingmetadatafromenvironmentalpolicytexts-2019', 'http://www.aclweb.org/anthology/W19-2506', event);\">\n    Inferring missing metadata from environmental policy texts.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bethard, S.; Laparra, E.; Wang, S.; Zhao, Y.; Al-Ghezi, R.; Lien, A.;  and López-Hoffman, L.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature</i>, pages 46–51, Minneapolis, USA, 6 2019. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/W19-2506\"\n     onclick=\"log_download('bethard-laparra-wang-zhao-alghezi-lien-lpezhoffman-inferringmissingmetadatafromenvironmentalpolicytexts-2019', 'http://www.aclweb.org/anthology/W19-2506', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Inferring missing metadata from environmental policy texts [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bethard-laparra-wang-zhao-alghezi-lien-lpezhoffman-inferringmissingmetadatafromenvironmentalpolicytexts-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bethard-laparra-wang-zhao-alghezi-lien-lpezhoffman-inferringmissingmetadatafromenvironmentalpolicytexts-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{bethard-EtAl:2019:W19-25,\n  author    = {Bethard, Steven  and  Laparra, Egoitz  and  Wang, Sophia  and  Zhao, Yiyun  and  Al-Ghezi, Ragheb  and  Lien, Aaron  and  L\\&#x27;{o}pez-Hoffman, Laura},\n  title     = {Inferring missing metadata from environmental policy texts},\n  booktitle = {Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature},\n  month     = {6},\n  year      = {2019},\n  address   = {Minneapolis, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {46--51},\n  url       = {http://www.aclweb.org/anthology/W19-2506},\n  keywords = {workshop paper, environmental policy},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lin-miller-dligach-bethard-savova-abertbaseduniversalmodelforbothwithinandcrosssentenceclinicaltemporalrelationextraction-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/W19-1908\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lin-miller-dligach-bethard-savova-abertbaseduniversalmodelforbothwithinandcrosssentenceclinicaltemporalrelationextraction-2019', 'http://www.aclweb.org/anthology/W19-1908', event);\">\n    A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lin, C.; Miller, T.; Dligach, D.; Bethard, S.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2nd Clinical Natural Language Processing Workshop</i>, pages 65–71, Minneapolis, Minnesota, USA, 6 2019. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/W19-1908\"\n     onclick=\"log_download('lin-miller-dligach-bethard-savova-abertbaseduniversalmodelforbothwithinandcrosssentenceclinicaltemporalrelationextraction-2019', 'http://www.aclweb.org/anthology/W19-1908', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lin-miller-dligach-bethard-savova-abertbaseduniversalmodelforbothwithinandcrosssentenceclinicaltemporalrelationextraction-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lin-miller-dligach-bethard-savova-abertbaseduniversalmodelforbothwithinandcrosssentenceclinicaltemporalrelationextraction-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{lin-EtAl:2019:W19-19,\n  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Bethard, Steven  and  Savova, Guergana},\n  title     = {A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction},\n  booktitle = {Proceedings of the 2nd Clinical Natural Language Processing Workshop},\n  month     = {6},\n  year      = {2019},\n  address   = {Minneapolis, Minnesota, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {65--71},\n  url       = {http://www.aclweb.org/anthology/W19-1908},\n  keywords = {workshop paper, health applications, timelines, information extraction},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-laparra-wang-surdeanu-bethard-universityofarizonaatsemeval2019task12deepaffixnamedentityrecognitionofgeolocationentities-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/S19-2232\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-laparra-wang-surdeanu-bethard-universityofarizonaatsemeval2019task12deepaffixnamedentityrecognitionofgeolocationentities-2019', 'http://www.aclweb.org/anthology/S19-2232', event);\">\n    University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.; Laparra, E.; Wang, T.; Surdeanu, M.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 13th International Workshop on Semantic Evaluation</i>, pages 1319–1323, Minneapolis, Minnesota, USA, 6 2019. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/S19-2232\"\n     onclick=\"log_download('yadav-laparra-wang-surdeanu-bethard-universityofarizonaatsemeval2019task12deepaffixnamedentityrecognitionofgeolocationentities-2019', 'http://www.aclweb.org/anthology/S19-2232', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-laparra-wang-surdeanu-bethard-universityofarizonaatsemeval2019task12deepaffixnamedentityrecognitionofgeolocationentities-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-laparra-wang-surdeanu-bethard-universityofarizonaatsemeval2019task12deepaffixnamedentityrecognitionofgeolocationentities-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{yadav-EtAl:2019:S19-2,\n  author    = {Yadav, Vikas  and  Laparra, Egoitz  and  Wang, Ti-Tai  and  Surdeanu, Mihai  and  Bethard, Steven},\n  title     = {University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities},\n  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},\n  month     = {6},\n  year      = {2019},\n  address   = {Minneapolis, Minnesota, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {1319--1323},\n  url       = {http://www.aclweb.org/anthology/S19-2232},\n  keywords = {shared task paper, locations, information extraction},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sadeque-rains-shmargad-kenski-coe-bethard-incivilitydetectioninonlinecomments-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/S19-1031\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sadeque-rains-shmargad-kenski-coe-bethard-incivilitydetectioninonlinecomments-2019', 'http://www.aclweb.org/anthology/S19-1031', event);\">\n    Incivility Detection in Online Comments.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sadeque, F.; Rains, S.; Shmargad, Y.; Kenski, K.; Coe, K.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)</i>, pages 283–291, Minneapolis, Minnesota, 6 2019. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 33%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/S19-1031\"\n     onclick=\"log_download('sadeque-rains-shmargad-kenski-coe-bethard-incivilitydetectioninonlinecomments-2019', 'http://www.aclweb.org/anthology/S19-1031', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Incivility Detection in Online Comments [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sadeque-rains-shmargad-kenski-coe-bethard-incivilitydetectioninonlinecomments-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sadeque-rains-shmargad-kenski-coe-bethard-incivilitydetectioninonlinecomments-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{sadeque-EtAl:2019:S19-1,\n  author    = {Sadeque, Farig  and  Rains, Stephen  and  Shmargad, Yotam  and  Kenski, Kate  and  Coe, Kevin  and  Bethard, Steven},\n  title     = {Incivility Detection in Online Comments},\n  booktitle = {Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)},\n  month     = {6},\n  year      = {2019},\n  address   = {Minneapolis, Minnesota},\n  publisher = {Association for Computational Linguistics},\n  pages     = {283--291},\n  url       = {http://www.aclweb.org/anthology/S19-1031},\n  note = {[Acceptance rate 33\\%]},\n  keywords = {social media},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"xu-laparra-bethard-pretrainedcontextualizedcharacterembeddingsleadtomajorimprovementsintimenormalizationadetailedanalysis-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/S19-1008\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'xu-laparra-bethard-pretrainedcontextualizedcharacterembeddingsleadtomajorimprovementsintimenormalizationadetailedanalysis-2019', 'http://www.aclweb.org/anthology/S19-1008', event);\">\n    Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Xu, D.; Laparra, E.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)</i>, pages 68–74, Minneapolis, Minnesota, 6 2019. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 33%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/S19-1008\"\n     onclick=\"log_download('xu-laparra-bethard-pretrainedcontextualizedcharacterembeddingsleadtomajorimprovementsintimenormalizationadetailedanalysis-2019', 'http://www.aclweb.org/anthology/S19-1008', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/xu-laparra-bethard-pretrainedcontextualizedcharacterembeddingsleadtomajorimprovementsintimenormalizationadetailedanalysis-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>18 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('xu-laparra-bethard-pretrainedcontextualizedcharacterembeddingsleadtomajorimprovementsintimenormalizationadetailedanalysis-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{xu-laparra-bethard:2019:S19-1,\n  author    = {Xu, Dongfang  and  Laparra, Egoitz  and  Bethard, Steven},\n  title     = {Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis},\n  booktitle = {Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)},\n  month     = {6},\n  year      = {2019},\n  address   = {Minneapolis, Minnesota},\n  publisher = {Association for Computational Linguistics},\n  pages     = {68--74},\n  url       = {http://www.aclweb.org/anthology/S19-1008},\n  note = {[Acceptance rate 33\\%]},\n  keywords = {timelines, information extraction},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sharp-pyarelal-gyori-alcock-laparra-valenzuelaescrcega-nagesh-yadav-etal-eidosindradelphifromfreetexttoexecutablecausalmodels-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/N19-4008\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sharp-pyarelal-gyori-alcock-laparra-valenzuelaescrcega-nagesh-yadav-etal-eidosindradelphifromfreetexttoexecutablecausalmodels-2019', 'http://www.aclweb.org/anthology/N19-4008', event);\">\n    Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sharp, R.; Pyarelal, A.; Gyori, B.; Alcock, K.; Laparra, E.; Valenzuela-Escárcega, M. A.; Nagesh, A.; Yadav, V.; Bachman, J.; <a class=\"bibbase author link\" href=\"https://zhengtang1120.github.io/publications.html\">Tang, Z.</a>; Lent, H.; Luo, F.; Paul, M.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>; Barnard, K.; Morrison, C.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)</i>, pages 42–47, Minneapolis, Minnesota, 6 2019. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/N19-4008\"\n     onclick=\"log_download('sharp-pyarelal-gyori-alcock-laparra-valenzuelaescrcega-nagesh-yadav-etal-eidosindradelphifromfreetexttoexecutablecausalmodels-2019', 'http://www.aclweb.org/anthology/N19-4008', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Eidos, INDRA, &amp; Delphi: From Free Text to Executable Causal Models [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sharp-pyarelal-gyori-alcock-laparra-valenzuelaescrcega-nagesh-yadav-etal-eidosindradelphifromfreetexttoexecutablecausalmodels-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>8 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sharp-pyarelal-gyori-alcock-laparra-valenzuelaescrcega-nagesh-yadav-etal-eidosindradelphifromfreetexttoexecutablecausalmodels-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{sharp-EtAl:2019:N19-4,\n  author    = {Sharp, Rebecca  and  Pyarelal, Adarsh  and  Gyori, Benjamin  and  Alcock, Keith  and  Laparra, Egoitz  and  Valenzuela-Esc\\&#x27;{a}rcega, Marco A.  and  Nagesh, Ajay  and  Yadav, Vikas  and  Bachman, John  and  Tang, Zheng  and  Lent, Heather  and  Luo, Fan  and  Paul, Mithun  and  Bethard, Steven  and  Barnard, Kobus  and  Morrison, Clayton  and  Surdeanu, Mihai},\n  title     = {Eidos, INDRA, \\&amp; Delphi: From Free Text to Executable Causal Models},\n  booktitle = {Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)},\n  month     = {6},\n  year      = {2019},\n  address   = {Minneapolis, Minnesota},\n  publisher = {Association for Computational Linguistics},\n  pages     = {42--47},\n  url       = {http://www.aclweb.org/anthology/N19-4008},\n  keywords = {demo paper, causal relations, timelines, locations, information extraction},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-bethard-surdeanu-alignmentoverheterogeneousembeddingsforquestionanswering-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/N19-1274\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-bethard-surdeanu-alignmentoverheterogeneousembeddingsforquestionanswering-2019', 'http://www.aclweb.org/anthology/N19-1274', event);\">\n    Alignment over Heterogeneous Embeddings for Question Answering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)</i>, pages 2681–2691, Minneapolis, Minnesota, 6 2019. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 26%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/N19-1274\"\n     onclick=\"log_download('yadav-bethard-surdeanu-alignmentoverheterogeneousembeddingsforquestionanswering-2019', 'http://www.aclweb.org/anthology/N19-1274', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Alignment over Heterogeneous Embeddings for Question Answering [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-bethard-surdeanu-alignmentoverheterogeneousembeddingsforquestionanswering-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>8 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-bethard-surdeanu-alignmentoverheterogeneousembeddingsforquestionanswering-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{yadav-bethard-surdeanu:2019:N19-1,\n  author    = {Yadav, Vikas  and  Bethard, Steven  and  Surdeanu, Mihai},\n  title     = {Alignment over Heterogeneous Embeddings for Question Answering},\n  booktitle = {Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n  month     = {6},\n  year      = {2019},\n  address   = {Minneapolis, Minnesota},\n  publisher = {Association for Computational Linguistics},\n  pages     = {2681--2691},\n  url       = {http://www.aclweb.org/anthology/N19-1274},\n  note = {[Acceptance rate 26\\%]},\n  keywords = {question answering},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lpez-lpezlpez-bethard-gorrostieta-amodelforidentifyingstepsinundergraduatethesismethodology-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://rcs.cic.ipn.mx/2019\\_148\\_5/A\\%20Model\\%20for\\%20Identifying\\%20Steps\\%20in\\%20Undergraduate\\%20Thesis\\%20Methodology.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lpez-lpezlpez-bethard-gorrostieta-amodelforidentifyingstepsinundergraduatethesismethodology-2019', 'http://rcs.cic.ipn.mx/2019\\_148\\_5/A\\%20Model\\%20for\\%20Identifying\\%20Steps\\%20in\\%20Undergraduate\\%20Thesis\\%20Methodology.pdf', event);\">\n    A Model for Identifying Steps in Undergraduate Thesis Methodology.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  López, S. G.; López-López, A.; Bethard, S.;  and Gorrostieta, J. M. G.\n</span>\n\n  \n\n</span>\n\n  <i>Res. Comput. Sci.</i>, 148(5): 17–24.  2019.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://rcs.cic.ipn.mx/2019\\_148\\_5/A\\%20Model\\%20for\\%20Identifying\\%20Steps\\%20in\\%20Undergraduate\\%20Thesis\\%20Methodology.pdf\"\n     onclick=\"log_download('lpez-lpezlpez-bethard-gorrostieta-amodelforidentifyingstepsinundergraduatethesismethodology-2019', 'http://rcs.cic.ipn.mx/2019\\_148\\_5/A\\%20Model\\%20for\\%20Identifying\\%20Steps\\%20in\\%20Undergraduate\\%20Thesis\\%20Methodology.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A Model for Identifying Steps in Undergraduate Thesis Methodology [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lpez-lpezlpez-bethard-gorrostieta-amodelforidentifyingstepsinundergraduatethesismethodology-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lpez-lpezlpez-bethard-gorrostieta-amodelforidentifyingstepsinundergraduatethesismethodology-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{gonzalez-lopez-EtAl:2019:RCS,\n  author    = {Samuel Gonz{\\&#x27;{a}}lez L{\\&#x27;{o}}pez and\n               Aurelio L{\\&#x27;{o}}pez{-}L{\\&#x27;{o}}pez and\n               Steven Bethard and\n               Jes{\\&#x27;{u}}s Miguel Garc{\\&#x27;{i}}a Gorrostieta},\n  title     = {A Model for Identifying Steps in Undergraduate Thesis Methodology},\n  journal   = {Res. Comput. Sci.},\n  volume    = {148},\n  number    = {5},\n  pages     = {17--24},\n  year      = {2019},\n  url       = {http://rcs.cic.ipn.mx/2019\\_148\\_5/A\\%20Model\\%20for\\%20Identifying\\%20Steps\\%20in\\%20Undergraduate\\%20Thesis\\%20Methodology.pdf},\n  keywords = {educational applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2018\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2018')\"\n      onkeypress=\"toggleGroup('group_2018')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2018</span>\n      <span class=\"bibbase_group_count\">\n        \n        (29)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"pradhan-zhang-bethard-chen-embeddinguserbehavioralaspectintfidflikerepresentation-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://doi.org/10.1109/MIPR.2018.00061\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'pradhan-zhang-bethard-chen-embeddinguserbehavioralaspectintfidflikerepresentation-2018', 'http://doi.org/10.1109/MIPR.2018.00061', event);\">\n    Embedding User Behavioral Aspect in TF-IDF Like Representation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Pradhan, L.; Zhang, C.; Bethard, S.;  and Chen, X.\n</span>\n\n  \n\n</span>\n\n  In <i>2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)</i>, pages 262-267, 4 2018. \n  <span class=\"note\">[Acceptance rate 20%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://doi.org/10.1109/MIPR.2018.00061\"\n     onclick=\"log_download('pradhan-zhang-bethard-chen-embeddinguserbehavioralaspectintfidflikerepresentation-2018', 'http://doi.org/10.1109/MIPR.2018.00061', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Embedding User Behavioral Aspect in TF-IDF Like Representation [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/pradhan-zhang-bethard-chen-embeddinguserbehavioralaspectintfidflikerepresentation-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('pradhan-zhang-bethard-chen-embeddinguserbehavioralaspectintfidflikerepresentation-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@INPROCEEDINGS{8397017,\nauthor={Ligaj Pradhan and Chengcui Zhang and Steven Bethard and Xin Chen},\nbooktitle={2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)},\ntitle={Embedding User Behavioral Aspect in TF-IDF Like Representation},\nyear={2018},\nvolume={},\nnumber={},\npages={262-267},\nkeywords={information retrieval, recommender systems},\nurl={http://doi.org/10.1109/MIPR.2018.00061},\nISSN={},\nmonth={4},\nnote = {[Acceptance rate 20\\%]},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rains-hingle-surdeanu-bell-kobourov-effectsofmessageframingondiabetesscreeningattitudesandbehavior-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/DiabetesMessageFramingStudyBriefReport.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rains-hingle-surdeanu-bell-kobourov-effectsofmessageframingondiabetesscreeningattitudesandbehavior-2018', 'http://clulab.org/papers/DiabetesMessageFramingStudyBriefReport.pdf', event);\">\n    Effects of Message Framing on Diabetes Screening Attitudes and Behavior.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rains, S. A.; Hingle, M. D.; Surdeanu, M.; Bell, D.;  and Kobourov, S.\n</span>\n\n  \n\n</span>\n\n  <i>Manuscript in preparation</i>.  2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/DiabetesMessageFramingStudyBriefReport.pdf\"\n     onclick=\"log_download('rains-hingle-surdeanu-bell-kobourov-effectsofmessageframingondiabetesscreeningattitudesandbehavior-2018', 'http://clulab.org/papers/DiabetesMessageFramingStudyBriefReport.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Effects of Message Framing on Diabetes Screening Attitudes and Behavior [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rains-hingle-surdeanu-bell-kobourov-effectsofmessageframingondiabetesscreeningattitudesandbehavior-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rains-hingle-surdeanu-bell-kobourov-effectsofmessageframingondiabetesscreeningattitudesandbehavior-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Rains:20182,\n        author = {Stephen A. Rains and Melanie D. Hingle and Mihai Surdeanu and Dane Bell and Stephen Kobourov},\n        title = {Effects of Message Framing on Diabetes Screening Attitudes and Behavior},\n        journal = {Manuscript in preparation},\n        year = {2018},\n        url = {http://clulab.org/papers/DiabetesMessageFramingStudyBriefReport.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/GroundingGradableAdjectivesthroughCrowdsourcing.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018', 'http://clulab.org/papers/GroundingGradableAdjectivesthroughCrowdsourcing.pdf', event);\">\n    Grounding Gradable Adjectives through Crowdsourcing.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sharp, R.; Paul, M.; Nagesh, A.; Bell, D.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>LREC 2018</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/GroundingGradableAdjectivesthroughCrowdsourcing.pdf\"\n     onclick=\"log_download('sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018', 'http://clulab.org/papers/GroundingGradableAdjectivesthroughCrowdsourcing.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Grounding Gradable Adjectives through Crowdsourcing [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>8 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{lrec2018,\n  title={Grounding Gradable Adjectives through Crowdsourcing},\n  author={Sharp, Rebecca and Paul, Mithun and Nagesh, Ajay and Bell, Dane and Surdeanu, Mihai},\n  booktitle={LREC 2018},\n  year={2018},\n  url={http://clulab.org/papers/GroundingGradableAdjectivesthroughCrowdsourcing.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rains-hingle-surdeanu-bell-kobourov-atestoftheriskperceptionattitudeframeworkasamessagetailoringstrategytopromotediabetesscreening-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/RainsHingleSurdeanuetalHC.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rains-hingle-surdeanu-bell-kobourov-atestoftheriskperceptionattitudeframeworkasamessagetailoringstrategytopromotediabetesscreening-2018', 'http://clulab.org/papers/RainsHingleSurdeanuetalHC.pdf', event);\">\n    A Test of The Risk Perception Attitude Framework as a Message Tailoring Strategy to Promote Diabetes Screening.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rains, S. A.; Hingle, M. D.; Surdeanu, M.; Bell, D.;  and Kobourov, S.\n</span>\n\n  \n\n</span>\n\n  <i>Health Communication</i>.  2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/RainsHingleSurdeanuetalHC.pdf\"\n     onclick=\"log_download('rains-hingle-surdeanu-bell-kobourov-atestoftheriskperceptionattitudeframeworkasamessagetailoringstrategytopromotediabetesscreening-2018', 'http://clulab.org/papers/RainsHingleSurdeanuetalHC.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A Test of The Risk Perception Attitude Framework as a Message Tailoring Strategy to Promote Diabetes Screening [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"https://doi.org/10.1080/10410236.2018.1431024\"\n     onclick=\"log_download('rains-hingle-surdeanu-bell-kobourov-atestoftheriskperceptionattitudeframeworkasamessagetailoringstrategytopromotediabetesscreening-2018', 'https://doi.org/10.1080/10410236.2018.1431024', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Test of The Risk Perception Attitude Framework as a Message Tailoring Strategy to Promote Diabetes Screening [link]\"\n       title=\" odi\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> odi</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rains-hingle-surdeanu-bell-kobourov-atestoftheriskperceptionattitudeframeworkasamessagetailoringstrategytopromotediabetesscreening-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rains-hingle-surdeanu-bell-kobourov-atestoftheriskperceptionattitudeframeworkasamessagetailoringstrategytopromotediabetesscreening-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{Rains:2018,\n  author    = {Stephen A. Rains and Melanie D. Hingle and Mihai Surdeanu and Dane Bell and Stephen Kobourov},\n  title     = {A Test of The Risk Perception Attitude Framework as a Message Tailoring Strategy to Promote Diabetes Screening},\n  journal = {Health Communication},\n  url = {http://clulab.org/papers/RainsHingleSurdeanuetalHC.pdf},\n  url_odi = {https://doi.org/10.1080/10410236.2018.1431024},\n  year = {2018}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jansen-wainwright-marmorstein-morrison-worldtreeacorpusofexplanationgraphsforelementarysciencequestionssupportingmultihopinference-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://cognitiveai.org/wp-content/uploads/2018/02/jansen_et_al_lrec2018_worldtree_computable_explanation_corpus_8pg_cameraready.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jansen-wainwright-marmorstein-morrison-worldtreeacorpusofexplanationgraphsforelementarysciencequestionssupportingmultihopinference-2018', 'http://cognitiveai.org/wp-content/uploads/2018/02/jansen_et_al_lrec2018_worldtree_computable_explanation_corpus_8pg_cameraready.pdf', event);\">\n    WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jansen, P.; Wainwright, E.; Marmorstein, S.;  and Morrison, C. T.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC)</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://cognitiveai.org/wp-content/uploads/2018/02/jansen_et_al_lrec2018_worldtree_computable_explanation_corpus_8pg_cameraready.pdf\"\n     onclick=\"log_download('jansen-wainwright-marmorstein-morrison-worldtreeacorpusofexplanationgraphsforelementarysciencequestionssupportingmultihopinference-2018', 'http://cognitiveai.org/wp-content/uploads/2018/02/jansen_et_al_lrec2018_worldtree_computable_explanation_corpus_8pg_cameraready.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://cognitiveai.org/explanationbank/\"\n     onclick=\"log_download('jansen-wainwright-marmorstein-morrison-worldtreeacorpusofexplanationgraphsforelementarysciencequestionssupportingmultihopinference-2018', 'http://cognitiveai.org/explanationbank/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jansen-wainwright-marmorstein-morrison-worldtreeacorpusofexplanationgraphsforelementarysciencequestionssupportingmultihopinference-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jansen-wainwright-marmorstein-morrison-worldtreeacorpusofexplanationgraphsforelementarysciencequestionssupportingmultihopinference-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{jansen2018worldtree,\n    author = {Peter Jansen and Elizabeth Wainwright and Steven Marmorstein and Clayton T. Morrison},\n    title = {WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference},\n    booktitle = {Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC)},\n    year = {2018},\n    url = {http://cognitiveai.org/wp-content/uploads/2018/02/jansen_et_al_lrec2018_worldtree_computable_explanation_corpus_8pg_cameraready.pdf},\n    url_code = {http://cognitiveai.org/explanationbank/}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kwon-trivedi-jansen-surdeanu-balasubramanian-controllinginformationaggregationforcomplexquestionanswering-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/ecir2018.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kwon-trivedi-jansen-surdeanu-balasubramanian-controllinginformationaggregationforcomplexquestionanswering-2018', 'http://clulab.org/papers/ecir2018.pdf', event);\">\n    Controlling Information Aggregation for Complex Question Answering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kwon, H.; Trivedi, H.; Jansen, P.; Surdeanu, M.;  and Balasubramanian, N.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 40th European Conference on Information Retrieval (ECIR)</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/ecir2018.pdf\"\n     onclick=\"log_download('kwon-trivedi-jansen-surdeanu-balasubramanian-controllinginformationaggregationforcomplexquestionanswering-2018', 'http://clulab.org/papers/ecir2018.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Controlling Information Aggregation for Complex Question Answering [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kwon-trivedi-jansen-surdeanu-balasubramanian-controllinginformationaggregationforcomplexquestionanswering-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kwon-trivedi-jansen-surdeanu-balasubramanian-controllinginformationaggregationforcomplexquestionanswering-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{heeyoung2018ecir,\n    author = {Heeyoung Kwon and Harsh Trivedi and Peter Jansen and Mihai Surdeanu and Niranjan Balasubramanian},\n    title = {Controlling Information Aggregation for Complex Question Answering},\n    booktitle = {Proceedings of the 40th European Conference on Information Retrieval (ECIR)},\n    year = {2018},\n    url = {http://clulab.org/papers/ecir2018.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"forbes-lee-hahnpowell-valenzuelaescarcega-surdeanu-textannotationgraphsannotatingcomplexnaturallanguagephenomena-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/1711.00529.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'forbes-lee-hahnpowell-valenzuelaescarcega-surdeanu-textannotationgraphsannotatingcomplexnaturallanguagephenomena-2018', 'https://arxiv.org/pdf/1711.00529.pdf', event);\">\n    Text Annotation Graphs: Annotating Complex Natural Language Phenomena.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Forbes, A. G.; Lee, K.; Hahn-Powell, G.; Valenzuela-Escarcega, M. A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC'18)</i>, Miyazaki, Japan, May 2018. European Language Resources Association (ELRA)\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://github.com/CreativeCodingLab/TextAnnotationGraphs\"\n     onclick=\"log_download('forbes-lee-hahnpowell-valenzuelaescarcega-surdeanu-textannotationgraphsannotatingcomplexnaturallanguagephenomena-2018', 'https://github.com/CreativeCodingLab/TextAnnotationGraphs', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Text Annotation Graphs: Annotating Complex Natural Language Phenomena [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n  <a href=\"https://arxiv.org/pdf/1711.00529.pdf\"\n     onclick=\"log_download('forbes-lee-hahnpowell-valenzuelaescarcega-surdeanu-textannotationgraphsannotatingcomplexnaturallanguagephenomena-2018', 'https://arxiv.org/pdf/1711.00529.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Text Annotation Graphs: Annotating Complex Natural Language Phenomena [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/forbes-lee-hahnpowell-valenzuelaescarcega-surdeanu-textannotationgraphsannotatingcomplexnaturallanguagephenomena-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('forbes-lee-hahnpowell-valenzuelaescarcega-surdeanu-textannotationgraphsannotatingcomplexnaturallanguagephenomena-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{TAG-2018,\n    author = {Angus G. Forbes and Kristine Lee and Gus Hahn-Powell and Marco A. Valenzuela-Escarcega and Mihai Surdeanu},\n    title = {Text Annotation Graphs: Annotating Complex Natural Language Phenomena},\n    booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC&#x27;18)},\n    year = {2018},\n    month = {May},\n    address = {Miyazaki, Japan},\n    publisher = {European Language Resources Association (ELRA)},\n    url_code = {https://github.com/CreativeCodingLab/TextAnnotationGraphs},\n    url = {https://arxiv.org/pdf/1711.00529.pdf}\n }\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"nagesh-surdeanu-keepyourbearingslightlysupervisedinformationextractionwithladdernetworksthatavoidssemanticdrift-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/naaclhlt2018.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'nagesh-surdeanu-keepyourbearingslightlysupervisedinformationextractionwithladdernetworksthatavoidssemanticdrift-2018', 'http://clulab.org/papers/naaclhlt2018.pdf', event);\">\n    Keep your bearings: Lightly-supervised Information Extraction with Ladder Networks that avoids Semantic Drift.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Nagesh, A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>NAACL HLT 2018, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, USA, Jun 1 - June 6, 2018</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/naaclhlt2018.pdf\"\n     onclick=\"log_download('nagesh-surdeanu-keepyourbearingslightlysupervisedinformationextractionwithladdernetworksthatavoidssemanticdrift-2018', 'http://clulab.org/papers/naaclhlt2018.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Keep your bearings: Lightly-supervised Information Extraction with Ladder Networks that avoids Semantic Drift [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/nagesh-surdeanu-keepyourbearingslightlysupervisedinformationextractionwithladdernetworksthatavoidssemanticdrift-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('nagesh-surdeanu-keepyourbearingslightlysupervisedinformationextractionwithladdernetworksthatavoidssemanticdrift-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{DBLP:conf/naacl/ANMS18,\n  author    = {Ajay Nagesh and\n               Mihai Surdeanu},\n  title     = {Keep your bearings: Lightly-supervised Information Extraction with Ladder Networks that avoids Semantic Drift},\n  booktitle = {{NAACL} {HLT} 2018, The 16th Annual Conference of the North American Chapter\n               of the Association for Computational Linguistics: Human Language Technologies,\n               New Orleans, Louisiana, USA, Jun 1 - June 6, 2018},\n  year      = {2018},\n  url = {http://clulab.org/papers/naaclhlt2018.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"luo-valenzuelaescarcega-hahnpowell-surdeanu-scientificdiscoveryaslinkpredictionininfluenceandcitationgraphs-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/TextGraphs.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'luo-valenzuelaescarcega-hahnpowell-surdeanu-scientificdiscoveryaslinkpredictionininfluenceandcitationgraphs-2018', 'http://clulab.org/papers/TextGraphs.pdf', event);\">\n    Scientific Discovery as Link Prediction in Influence and Citation Graphs.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Luo, F.; Valenzuela-Escarcega, M. A.; Hahn-Powell, G.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>TextGraphs: 12th Workshop on Graph-Based Natural Language Processing</i>,  2018. NAACL\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/TextGraphs.pdf\"\n     onclick=\"log_download('luo-valenzuelaescarcega-hahnpowell-surdeanu-scientificdiscoveryaslinkpredictionininfluenceandcitationgraphs-2018', 'http://clulab.org/papers/TextGraphs.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Scientific Discovery as Link Prediction in Influence and Citation Graphs [pdf]\"\n       title=\" slides\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/ScientificDiscoveryasLinkPredictioninInfluenceandCitationGraphs.pdf\"\n     onclick=\"log_download('luo-valenzuelaescarcega-hahnpowell-surdeanu-scientificdiscoveryaslinkpredictionininfluenceandcitationgraphs-2018', 'http://clulab.org/papers/ScientificDiscoveryasLinkPredictioninInfluenceandCitationGraphs.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Scientific Discovery as Link Prediction in Influence and Citation Graphs [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/luo-valenzuelaescarcega-hahnpowell-surdeanu-scientificdiscoveryaslinkpredictionininfluenceandcitationgraphs-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>57 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('luo-valenzuelaescarcega-hahnpowell-surdeanu-scientificdiscoveryaslinkpredictionininfluenceandcitationgraphs-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{whitespaces-identification2018,\n  title={Scientific Discovery as Link Prediction in Influence and Citation Graphs},\n  author={Fan Luo and\n      \tMarco A. Valenzuela-Escarcega and\n        Gus Hahn-Powell and\n        Mihai Surdeanu},\n  booktitle = {TextGraphs: 12th Workshop on Graph-Based Natural Language Processing},\n  year={2018},\n  abstract = {We introduce a machine learning approach for the identification of &#x60;&#x60;white spaces&#x27;&#x27; in scientific knowledge. Our approach addresses this task as link prediction over a graph that contains over 2M influence statements such as &#x60;&#x60;CTCF activates FOXA1&#x27;&#x27;, which were automatically extracted using open-domain machine reading. We model this prediction task using graph-based features extracted from the above influence graph, as well as from a citation graph that captures scientific communities. We evaluated the proposed approach through backtesting. Although the data is heavily unbalanced (50 times more negative examples than positives), our approach predicts which influence links will be discovered in the &#x60;&#x60;near future&#x27;&#x27; with a F1 score of 27 points, and a mean average precision of 68\\%. },\n  organization={NAACL},\n  url_Slides={http://clulab.org/papers/TextGraphs.pdf},\n  url={http://clulab.org/papers/ScientificDiscoveryasLinkPredictioninInfluenceandCitationGraphs.pdf}\n}\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We introduce a machine learning approach for the identification of ``white spaces'' in scientific knowledge. Our approach addresses this task as link prediction over a graph that contains over 2M influence statements such as ``CTCF activates FOXA1'', which were automatically extracted using open-domain machine reading. We model this prediction task using graph-based features extracted from the above influence graph, as well as from a citation graph that captures scientific communities. We evaluated the proposed approach through backtesting. Although the data is heavily unbalanced (50 times more negative examples than positives), our approach predicts which influence links will be discovered in the ``near future'' with a F1 score of 27 points, and a mean average precision of 68%. \n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/1807.01836.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018', 'https://arxiv.org/pdf/1807.01836.pdf', event);\">\n    Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.; Sharp, R.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/1807.01836.pdf\"\n     onclick=\"log_download('yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018', 'https://arxiv.org/pdf/1807.01836.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{vikasy_ARC_2018,\n  title={Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge},\n  author={Yadav, Vikas and Sharp, Rebecca and Surdeanu, Mihai},\n  booktitle = &quot;Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)&quot;,\n  year={2018},\n  url = {https://arxiv.org/pdf/1807.01836.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/1807.01836.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018', 'https://arxiv.org/pdf/1807.01836.pdf', event);\">\n    Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.; Sharp, R.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  .  2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/1807.01836.pdf\"\n     onclick=\"log_download('yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018', 'https://arxiv.org/pdf/1807.01836.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-sharp-surdeanu-sanitycheckastrongalignmentandinformationretrievalbaselineforai2reasoningchallenge-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{vikasy_ARC_2018,\n  title={Sanity Check: A Strong Alignment and Information Retrieval Baseline for AI2 Reasoning Challenge},\n  author={Yadav, Vikas and Sharp, Rebecca and Surdeanu, Mihai},\n  year={2018},\n  url = {https://arxiv.org/pdf/1807.01836.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1805.11545/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2018', 'https://arxiv.org/abs/1805.11545/', event);\">\n    Lightly-supervised Representation Learning with Global Interpretability.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Valenzuela-Escarcega, M. A; Nagesh, A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>arXiv</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1805.11545/\"\n     onclick=\"log_download('valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2018', 'https://arxiv.org/abs/1805.11545/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Lightly-supervised Representation Learning with Global Interpretability [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('valenzuelaescarcega-nagesh-surdeanu-lightlysupervisedrepresentationlearningwithglobalinterpretability-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{lrec2018,\n  title={Lightly-supervised Representation Learning with Global Interpretability},\n  author={Valenzuela-Escarcega, Marco A  and Nagesh, Ajay and Surdeanu, Mihai},\n  booktitle={arXiv},\n  year={2018},\n  url={https://arxiv.org/abs/1805.11545/}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.lrec-conf.org/proceedings/lrec2018/pdf/977.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018', 'http://www.lrec-conf.org/proceedings/lrec2018/pdf/977.pdf', event);\">\n    Grounding gradable adjectives through crowdsourcing.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sharp, R.; Paul, M.; Nagesh, A.; Bell, D.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In Calzolari, N.; Choukri, K.; Cieri, C.; Declerck, T.; Goggi, S.; Hasida, K.; Isahara, H.; Maegaard, B.; Mariani, J.; Mazo, H.; Moreno, A.; Odijk, J.; Piperidis, S.;  and Tokunaga, T., editor(s), <i>Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)</i>, Paris, France, May 2018. European Language Resources Association (ELRA)\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.lrec-conf.org/proceedings/lrec2018/pdf/977.pdf\"\n     onclick=\"log_download('sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018', 'http://www.lrec-conf.org/proceedings/lrec2018/pdf/977.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Grounding gradable adjectives through crowdsourcing [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>8 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sharp-paul-nagesh-bell-surdeanu-groundinggradableadjectivesthroughcrowdsourcing-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{SHARP18.977,\n  author = {Rebecca Sharp and Mithun Paul and Ajay Nagesh and Dane Bell and Mihai Surdeanu},\n  title = {Grounding gradable adjectives through crowdsourcing},\n  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},\n  year = {2018},\n  month = {May},\n  date = {7-12},\n  location = {Miyazaki, Japan},\n  editor = {Nicoletta Calzolari and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H\\&#x27;{e}l\\&#x60;{e}ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},\n  publisher = {European Language Resources Association (ELRA)},\n  address = {Paris, France},\n  isbn = {979-10-95546-00-9},\n  language = {english},\n  url = {http://www.lrec-conf.org/proceedings/lrec2018/pdf/977.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bell-laparra-kousik-ishihara-surdeanu-kobourov-detectingdiabetesriskfromsocialmediaactivity-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/louhi2018-t2dmrisk.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bell-laparra-kousik-ishihara-surdeanu-kobourov-detectingdiabetesriskfromsocialmediaactivity-2018', 'http://clulab.org/papers/louhi2018-t2dmrisk.pdf', event);\">\n    Detecting diabetes risk from social media activity.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bell, D.; Laparra, E.; Kousik, A.; Ishihara, T.; Surdeanu, M.;  and Kobourov, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI)</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/louhi2018-t2dmrisk.pdf\"\n     onclick=\"log_download('bell-laparra-kousik-ishihara-surdeanu-kobourov-detectingdiabetesriskfromsocialmediaactivity-2018', 'http://clulab.org/papers/louhi2018-t2dmrisk.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Detecting diabetes risk from social media activity [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/louhi2018-emnlp.pptx\"\n     onclick=\"log_download('bell-laparra-kousik-ishihara-surdeanu-kobourov-detectingdiabetesriskfromsocialmediaactivity-2018', 'http://clulab.org/papers/louhi2018-emnlp.pptx', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pptx.svg\"\n\t     alt=\"Detecting diabetes risk from social media activity [pptx]\"\n       title=\" slides\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bell-laparra-kousik-ishihara-surdeanu-kobourov-detectingdiabetesriskfromsocialmediaactivity-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bell-laparra-kousik-ishihara-surdeanu-kobourov-detectingdiabetesriskfromsocialmediaactivity-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{bell2018detecting,\n  title\t    = {Detecting diabetes risk from social media activity},\n  author    = {Bell, Dane and Laparra, Egoitz and Kousik, Aditya and Ishihara, Terron and Surdeanu, Mihai and Kobourov, Stephen},\n  booktitle = {Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI)},\n  year      = {2018},\n  url = {http://clulab.org/papers/louhi2018-t2dmrisk.pdf},\n  url_Slides = {http://clulab.org/papers/louhi2018-emnlp.pptx}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhou-bell-nusrat-hingle-surdeanu-kobourov-calorieestimationfrompicturesoffoodcrowdsourcingstudy-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/Zhou2018.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhou-bell-nusrat-hingle-surdeanu-kobourov-calorieestimationfrompicturesoffoodcrowdsourcingstudy-2018', 'http://clulab.org/papers/Zhou2018.pdf', event);\">\n    Calorie estimation from pictures of food: Crowdsourcing study.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhou, J.; Bell, D.; Nusrat, S.; Hingle, M. D.; Surdeanu, M.;  and Kobourov, S.\n</span>\n\n  \n\n</span>\n\n  <i>Interactive Journal of Medical Research (IJMR)</i>.  2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/Zhou2018.pdf\"\n     onclick=\"log_download('zhou-bell-nusrat-hingle-surdeanu-kobourov-calorieestimationfrompicturesoffoodcrowdsourcingstudy-2018', 'http://clulab.org/papers/Zhou2018.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Calorie estimation from pictures of food: Crowdsourcing study [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.2196/ijmr.9359\"\n     onclick=\"log_download('zhou-bell-nusrat-hingle-surdeanu-kobourov-calorieestimationfrompicturesoffoodcrowdsourcingstudy-2018', 'http://doi.org/10.2196/ijmr.9359', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhou-bell-nusrat-hingle-surdeanu-kobourov-calorieestimationfrompicturesoffoodcrowdsourcingstudy-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhou-bell-nusrat-hingle-surdeanu-kobourov-calorieestimationfrompicturesoffoodcrowdsourcingstudy-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{Zhou:2018,\n  author    = {Jun Zhou and Dane Bell and Sabina Nusrat and Melanie D.\\ Hingle and Mihai Surdeanu and Stephen Kobourov},\n  title     = {Calorie estimation from pictures of food: Crowdsourcing study},\n  journal = {Interactive Journal of Medical Research (IJMR)},\n  url = {http://clulab.org/papers/Zhou2018.pdf},\n  doi = {10.2196/ijmr.9359},\n  year = {2018}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"nagesh-surdeanu-anexplorationofthreelightlysupervisedrepresentationlearningapproachesfornamedentityclassification-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://aclweb.org/anthology/C18-1196\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'nagesh-surdeanu-anexplorationofthreelightlysupervisedrepresentationlearningapproachesfornamedentityclassification-2018', 'http://aclweb.org/anthology/C18-1196', event);\">\n    An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Nagesh, A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 27th International Conference on Computational Linguistics</i>, pages 2312-2324,  2018. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://aclweb.org/anthology/C18-1196\"\n     onclick=\"log_download('nagesh-surdeanu-anexplorationofthreelightlysupervisedrepresentationlearningapproachesfornamedentityclassification-2018', 'http://aclweb.org/anthology/C18-1196', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/nagesh-surdeanu-anexplorationofthreelightlysupervisedrepresentationlearningapproachesfornamedentityclassification-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('nagesh-surdeanu-anexplorationofthreelightlysupervisedrepresentationlearningapproachesfornamedentityclassification-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{C18-1196,\n  author = \t&quot;Nagesh, Ajay\n\t\tand Surdeanu, Mihai&quot;,\n  title = \t&quot;An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification&quot;,\n  booktitle = \t&quot;Proceedings of the 27th International Conference on Computational Linguistics&quot;,\n  year = \t&quot;2018&quot;,\n  publisher = \t&quot;Association for Computational Linguistics&quot;,\n  pages = \t&quot;2312-2324&quot;,\n  location = \t&quot;Santa Fe, New Mexico, USA&quot;,\n  url = \t&quot;http://aclweb.org/anthology/C18-1196&quot;\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedmachinereadingdiscoversnewcancerdrivingmechanisms-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/escarcega2018.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedmachinereadingdiscoversnewcancerdrivingmechanisms-2018', 'http://clulab.org/papers/escarcega2018.pdf', event);\">\n    Large-scale Automated Machine Reading Discovers New Cancer Driving Mechanisms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Valenzuela-Escarcega, M. A.; Babur, O.; Hahn-Powell, G.; Bell, D.; Hicks, T.; Noriega-Atala, E.; Wang, X.; Surdeanu, M.; Demir, E.;  and Morrison, C. T.\n</span>\n\n  \n\n</span>\n\n  <i>Database: The Journal of Biological Databases and Curation</i>.  2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/escarcega2018.pdf\"\n     onclick=\"log_download('valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedmachinereadingdiscoversnewcancerdrivingmechanisms-2018', 'http://clulab.org/papers/escarcega2018.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Large-scale Automated Machine Reading Discovers New Cancer Driving Mechanisms [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1093/database/bay098\"\n     onclick=\"log_download('valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedmachinereadingdiscoversnewcancerdrivingmechanisms-2018', 'http://doi.org/10.1093/database/bay098', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedmachinereadingdiscoversnewcancerdrivingmechanisms-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>36 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedmachinereadingdiscoversnewcancerdrivingmechanisms-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{ValenzuelaEscarcega2018LargescaleAR,\n  title     = {Large-scale Automated Machine Reading Discovers New\nCancer Driving Mechanisms},\n  author  = {Valenzuela{-}Escarcega, Marco A. and Ozgun Babur and Gus Hahn-Powell and Dane Bell and Thomas Hicks and Enrique Noriega-Atala and Xia Wang and Mihai Surdeanu and Emek Demir and Clayton T. Morrison},\n  journal = {Database: The Journal of Biological Databases and Curation},\n  url = {http://clulab.org/papers/escarcega2018.pdf},\n  doi = {10.1093/database/bay098},\n  year = {2018}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"berger-nagesh-levine-surdeanu-zhang-visualsupervisioninbootstrappedinformationextraction-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/emnlp2018.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'berger-nagesh-levine-surdeanu-zhang-visualsupervisioninbootstrappedinformationextraction-2018', 'http://clulab.org/papers/emnlp2018.pdf', event);\">\n    Visual Supervision in Bootstrapped Information Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Berger, M.; Nagesh, A.; Levine, J. A.; Surdeanu, M.;  and Zhang, H. H.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/emnlp2018.pdf\"\n     onclick=\"log_download('berger-nagesh-levine-surdeanu-zhang-visualsupervisioninbootstrappedinformationextraction-2018', 'http://clulab.org/papers/emnlp2018.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Visual Supervision in Bootstrapped Information Extraction [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/berger-nagesh-levine-surdeanu-zhang-visualsupervisioninbootstrappedinformationextraction-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('berger-nagesh-levine-surdeanu-zhang-visualsupervisioninbootstrappedinformationextraction-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{berger2018emboot,\n  title={Visual Supervision in Bootstrapped Information Extraction},\n  author={Berger, Matthew and Nagesh, Ajay and Levine, Joshua A. and Surdeanu, Mihai and Zhang, Hao Helen},\n  booktitle={Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n  year={2018},\n  url={http://clulab.org/papers/emnlp2018.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ebrahimi-surdeanu-samtani-chen-detectingcyberthreatsinnonenglishdarknetmarketsacrosslingualtransferlearningapproach-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/isi2018.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ebrahimi-surdeanu-samtani-chen-detectingcyberthreatsinnonenglishdarknetmarketsacrosslingualtransferlearningapproach-2018', 'http://clulab.org/papers/isi2018.pdf', event);\">\n    Detecting Cyber Threats in Non-English Dark Net Markets: A Cross-Lingual Transfer Learning Approach.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ebrahimi, M.; Surdeanu, M.; Samtani, S.;  and Chen, H.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the IEEE Intelligence and Security Informatics Conference (ISI)</i>,  2018. \n  <span class=\"note\">This paper won the Best Paper Runner-up Award.</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/isi2018.pdf\"\n     onclick=\"log_download('ebrahimi-surdeanu-samtani-chen-detectingcyberthreatsinnonenglishdarknetmarketsacrosslingualtransferlearningapproach-2018', 'http://clulab.org/papers/isi2018.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Detecting Cyber Threats in Non-English Dark Net Markets: A Cross-Lingual Transfer Learning Approach [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ebrahimi-surdeanu-samtani-chen-detectingcyberthreatsinnonenglishdarknetmarketsacrosslingualtransferlearningapproach-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ebrahimi-surdeanu-samtani-chen-detectingcyberthreatsinnonenglishdarknetmarketsacrosslingualtransferlearningapproach-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Ebrahimi2018isi,\n    author = {Mohammadreza Ebrahimi and Mihai Surdeanu and Sagar Samtani and Hsinchun Chen},\n    title = {Detecting Cyber Threats in Non-English Dark Net Markets: A Cross-Lingual Transfer Learning Approach},\n    booktitle = {Proceedings of the IEEE Intelligence and Security Informatics Conference (ISI)},\n    year = {2018},\n    note = {This paper won the Best Paper Runner-up Award.},\n    url = {http://clulab.org/papers/isi2018.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hahnpowell-machinereadingforscientificdiscovery-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://repository.arizona.edu/handle/10150/630562\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hahnpowell-machinereadingforscientificdiscovery-2018', 'https://repository.arizona.edu/handle/10150/630562', event);\">\n    Machine Reading for Scientific Discovery.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hahn-Powell, G.\n</span>\n\n  \n\n</span>\n\n  Ph.D. Thesis,  2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://repository.arizona.edu/handle/10150/630562\"\n     onclick=\"log_download('hahnpowell-machinereadingforscientificdiscovery-2018', 'https://repository.arizona.edu/handle/10150/630562', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Machine Reading for Scientific Discovery [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hahnpowell-machinereadingforscientificdiscovery-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hahnpowell-machinereadingforscientificdiscovery-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@phdthesis{ghpdiss2018,\n        author = {Gus Hahn-Powell},\n        publisher = {The University of Arizona},\n        year = {2018},\n        title = {Machine Reading for Scientific Discovery},\n        url = {https://repository.arizona.edu/handle/10150/630562}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lin-miller-dligach-amiri-bethard-savova-selftrainingimprovesrecurrentneuralnetworksperformancefortemporalrelationextraction-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/W18-5619\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lin-miller-dligach-amiri-bethard-savova-selftrainingimprovesrecurrentneuralnetworksperformancefortemporalrelationextraction-2018', 'http://www.aclweb.org/anthology/W18-5619', event);\">\n    Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lin, C.; Miller, T.; Dligach, D.; Amiri, H.; Bethard, S.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis</i>, pages 165–176, Brussels, Belgium, 10 2018. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/W18-5619\"\n     onclick=\"log_download('lin-miller-dligach-amiri-bethard-savova-selftrainingimprovesrecurrentneuralnetworksperformancefortemporalrelationextraction-2018', 'http://www.aclweb.org/anthology/W18-5619', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lin-miller-dligach-amiri-bethard-savova-selftrainingimprovesrecurrentneuralnetworksperformancefortemporalrelationextraction-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lin-miller-dligach-amiri-bethard-savova-selftrainingimprovesrecurrentneuralnetworksperformancefortemporalrelationextraction-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{lin-EtAl:2018:LOUHI,\n  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Amiri, Hadi  and  Bethard, Steven  and  Savova, Guergana},\n  title     = {Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction},\n  booktitle = {Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis},\n  month     = {10},\n  year      = {2018},\n  address   = {Brussels, Belgium},\n  publisher = {Association for Computational Linguistics},\n  pages     = {165--176},\n  url       = {http://www.aclweb.org/anthology/W18-5619},\n  keywords = {timelines, information extraction, health applications, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-bethard-asurveyonrecentadvancesinnamedentityrecognitionfromdeeplearningmodels-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/C18-1182\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-bethard-asurveyonrecentadvancesinnamedentityrecognitionfromdeeplearningmodels-2018', 'http://www.aclweb.org/anthology/C18-1182', event);\">\n    A Survey on Recent Advances in Named Entity Recognition from Deep Learning models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 27th International Conference on Computational Linguistics</i>, pages 2145–2158, Santa Fe, New Mexico, USA, 8 2018. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 37%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/C18-1182\"\n     onclick=\"log_download('yadav-bethard-asurveyonrecentadvancesinnamedentityrecognitionfromdeeplearningmodels-2018', 'http://www.aclweb.org/anthology/C18-1182', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Survey on Recent Advances in Named Entity Recognition from Deep Learning models [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-bethard-asurveyonrecentadvancesinnamedentityrecognitionfromdeeplearningmodels-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-bethard-asurveyonrecentadvancesinnamedentityrecognitionfromdeeplearningmodels-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{yadav-bethard:2018:C18-1,\n  author    = {Yadav, Vikas  and  Bethard, Steven},\n  title     = {A Survey on Recent Advances in Named Entity Recognition from Deep Learning models},\n  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},\n  month     = {8},\n  year      = {2018},\n  address   = {Santa Fe, New Mexico, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {2145--2158},\n  url       = {http://www.aclweb.org/anthology/C18-1182},\n  note = {[Acceptance rate 37\\%]},\n  keywords = {information extraction},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"apidianaki-mohammad-may-shutova-bethard-carpuat-proceedingsofthe12thinternationalworkshoponsemanticevaluationsemeval2018-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/S18-1\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'apidianaki-mohammad-may-shutova-bethard-carpuat-proceedingsofthe12thinternationalworkshoponsemanticevaluationsemeval2018-2018', 'http://www.aclweb.org/anthology/S18-1', event);\">\n    Proceedings of The 12th International Workshop on Semantic Evaluation (SemEval-2018).\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Apidianaki, M.; Mohammad, S. M.; May, J.; Shutova, E.; Bethard, S.;  and Carpuat, M.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. New Orleans, Louisiana, 6 2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/S18-1\"\n     onclick=\"log_download('apidianaki-mohammad-may-shutova-bethard-carpuat-proceedingsofthe12thinternationalworkshoponsemanticevaluationsemeval2018-2018', 'http://www.aclweb.org/anthology/S18-1', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of The 12th International Workshop on Semantic Evaluation (SemEval-2018) [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/apidianaki-mohammad-may-shutova-bethard-carpuat-proceedingsofthe12thinternationalworkshoponsemanticevaluationsemeval2018-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('apidianaki-mohammad-may-shutova-bethard-carpuat-proceedingsofthe12thinternationalworkshoponsemanticevaluationsemeval2018-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{apidianaki-etal:2018:SemEval,\n  editor    = {Marianna Apidianaki  and  Saif M. Mohammad  and  Jonathan May  and  Ekaterina Shutova  and  Steven Bethard  and  Marine Carpuat},\n  title     = {Proceedings of The 12th International Workshop on Semantic Evaluation (SemEval-2018)},\n  month     = {6},\n  year      = {2018},\n  address   = {New Orleans, Louisiana},\n  publisher = {Association for Computational Linguistics},\n  url       = {http://www.aclweb.org/anthology/S18-1},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"laparra-xu-elsayed-bethard-palmer-semeval2018task6parsingtimenormalizations-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/S18-1011\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'laparra-xu-elsayed-bethard-palmer-semeval2018task6parsingtimenormalizations-2018', 'http://www.aclweb.org/anthology/S18-1011', event);\">\n    SemEval 2018 Task 6: Parsing Time Normalizations.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Laparra, E.; Xu, D.; Elsayed, A.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Palmer, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of The 12th International Workshop on Semantic Evaluation</i>, pages 88–96, New Orleans, Louisiana, 6 2018. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/S18-1011\"\n     onclick=\"log_download('laparra-xu-elsayed-bethard-palmer-semeval2018task6parsingtimenormalizations-2018', 'http://www.aclweb.org/anthology/S18-1011', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"SemEval 2018 Task 6: Parsing Time Normalizations [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/laparra-xu-elsayed-bethard-palmer-semeval2018task6parsingtimenormalizations-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('laparra-xu-elsayed-bethard-palmer-semeval2018task6parsingtimenormalizations-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{laparra-etal:2018:SemEval,\n  author    = {Laparra, Egoitz  and  Xu, Dongfang  and  Elsayed, Ahmed  and  Bethard, Steven  and  Palmer, Martha},\n  title     = {SemEval 2018 Task 6: Parsing Time Normalizations},\n  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},\n  month     = {6},\n  year      = {2018},\n  address   = {New Orleans, Louisiana},\n  publisher = {Association for Computational Linguistics},\n  pages     = {88--96},\n  url       = {http://www.aclweb.org/anthology/S18-1011},\n  keywords  = {timelines, information extraction, shared task paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yadav-sharp-bethard-deepaffixfeaturesimproveneuralnamedentityrecognizers-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/S18-2021\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yadav-sharp-bethard-deepaffixfeaturesimproveneuralnamedentityrecognizers-2018', 'http://www.aclweb.org/anthology/S18-2021', event);\">\n    Deep Affix Features Improve Neural Named Entity Recognizers.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yadav, V.; Sharp, R.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics</i>, pages 167–172, New Orleans, Louisiana, 6 2018. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 29%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/S18-2021\"\n     onclick=\"log_download('yadav-sharp-bethard-deepaffixfeaturesimproveneuralnamedentityrecognizers-2018', 'http://www.aclweb.org/anthology/S18-2021', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deep Affix Features Improve Neural Named Entity Recognizers [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/yadav-sharp-bethard-deepaffixfeaturesimproveneuralnamedentityrecognizers-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yadav-sharp-bethard-deepaffixfeaturesimproveneuralnamedentityrecognizers-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{yadav-sharp-bethard:2018:SEM,\n  author    = {Yadav, Vikas  and  Sharp, Rebecca  and  Bethard, Steven},\n  title     = {Deep Affix Features Improve Neural Named Entity Recognizers},\n  booktitle = {Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics},\n  month     = {6},\n  year      = {2018},\n  address   = {New Orleans, Louisiana},\n  publisher = {Association for Computational Linguistics},\n  pages     = {167--172},\n  url       = {http://www.aclweb.org/anthology/S18-2021},\n  note = {[Acceptance rate 29\\%]},\n  keywords  = {information extraction},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"laparra-xu-bethard-fromcharacterstotimeintervalsnewparadigmsforevaluationandneuralparsingoftimenormalizations-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://transacl.org/ojs/index.php/tacl/article/view/1318\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'laparra-xu-bethard-fromcharacterstotimeintervalsnewparadigmsforevaluationandneuralparsingoftimenormalizations-2018', 'https://transacl.org/ojs/index.php/tacl/article/view/1318', event);\">\n    From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Laparra, E.; Xu, D.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  <i>Transactions of the Association for Computational Linguistics</i>, 6: 343–356. 5 2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://transacl.org/ojs/index.php/tacl/article/view/1318\"\n     onclick=\"log_download('laparra-xu-bethard-fromcharacterstotimeintervalsnewparadigmsforevaluationandneuralparsingoftimenormalizations-2018', 'https://transacl.org/ojs/index.php/tacl/article/view/1318', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/laparra-xu-bethard-fromcharacterstotimeintervalsnewparadigmsforevaluationandneuralparsingoftimenormalizations-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>4 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('laparra-xu-bethard-fromcharacterstotimeintervalsnewparadigmsforevaluationandneuralparsingoftimenormalizations-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{laparra-xu-bethard:2018:TACL,\n        author = {Laparra, Egoitz  and Xu, Dongfang  and Bethard, Steven },\n        title = {From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations},\n        journal = {Transactions of the Association for Computational Linguistics},\n        volume = {6},\n        year = {2018},\n        month = {5},\n        day = {31},\n        keywords = {timelines, information extraction},\n        issn = {2307-387X},\n        url = {https://transacl.org/ojs/index.php/tacl/article/view/1318},\n        pages = {343--356}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"xu-yadav-bethard-uarizonaatthemade10nlpchallenge-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v90/xu18a.html\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'xu-yadav-bethard-uarizonaatthemade10nlpchallenge-2018', 'http://proceedings.mlr.press/v90/xu18a.html', event);\">\n    UArizona at the MADE1.0 NLP Challenge.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Xu, D.; Yadav, V.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In Liu, F.; Jagannatha, A.;  and Yu, H., editor(s), <i>Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection</i>, volume 90, of <i>Proceedings of Machine Learning Research</i>, pages 57–65, 5 2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v90/xu18a.html\"\n     onclick=\"log_download('xu-yadav-bethard-uarizonaatthemade10nlpchallenge-2018', 'http://proceedings.mlr.press/v90/xu18a.html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"UArizona at the MADE1.0 NLP Challenge [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/xu-yadav-bethard-uarizonaatthemade10nlpchallenge-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('xu-yadav-bethard-uarizonaatthemade10nlpchallenge-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{xu-yadav-bethard:2018:MADE,\n  title = \t {UArizona at the MADE1.0 NLP Challenge},\n  author = \t {Dongfang Xu and Vikas Yadav and Steven Bethard},\n  booktitle = \t {Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection},\n  pages = \t {57--65},\n  year = \t {2018},\n  editor = \t {Feifan Liu and Abhyuday Jagannatha and Hong Yu},\n  volume = \t {90},\n  series = \t {Proceedings of Machine Learning Research},\n  address = \t {},\n  month = \t {5},\n  url = \t {http://proceedings.mlr.press/v90/xu18a.html},\n  keywords = {semantic relations, information extraction, health applications, shared task paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sadeque-xu-bethard-measuringthelatencyofdepressiondetectioninsocialmedia-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://doi.acm.org/10.1145/3159652.3159725\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sadeque-xu-bethard-measuringthelatencyofdepressiondetectioninsocialmedia-2018', 'http://doi.acm.org/10.1145/3159652.3159725', event);\">\n    Measuring the Latency of Depression Detection in Social Media.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sadeque, F.; Xu, D.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining</i>, of <i>WSDM '18</i>, pages 495–503, New York, NY, USA, 2 2018. ACM\n  <span class=\"note\">[Acceptance rate 16%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://doi.acm.org/10.1145/3159652.3159725\"\n     onclick=\"log_download('sadeque-xu-bethard-measuringthelatencyofdepressiondetectioninsocialmedia-2018', 'http://doi.acm.org/10.1145/3159652.3159725', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Measuring the Latency of Depression Detection in Social Media [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1145/3159652.3159725\"\n     onclick=\"log_download('sadeque-xu-bethard-measuringthelatencyofdepressiondetectioninsocialmedia-2018', 'http://doi.org/10.1145/3159652.3159725', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sadeque-xu-bethard-measuringthelatencyofdepressiondetectioninsocialmedia-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sadeque-xu-bethard-measuringthelatencyofdepressiondetectioninsocialmedia-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{sadeque-xu-bethard:2018:WSDM,\n author = {Sadeque, Farig and Xu, Dongfang and Bethard, Steven},\n title = {Measuring the Latency of Depression Detection in Social Media},\n booktitle = {Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining},\n series = {WSDM &#x27;18},\n year = {2018},\n month = {2},\n isbn = {978-1-4503-5581-0},\n location = {Marina Del Rey, CA, USA},\n pages = {495--503},\n numpages = {9},\n url = {http://doi.acm.org/10.1145/3159652.3159725},\n doi = {10.1145/3159652.3159725},\n acmid = {3159725},\n publisher = {ACM},\n address = {New York, NY, USA},\n  note = {[Acceptance rate 16\\%]},\n keywords = {health applications, social media},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"osborne-neu-danila-solorio-bethard-cuiless2016aclinicalcorpusapplyingcompositionalnormalizationoftextmentions-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1186/s13326-017-0173-6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'osborne-neu-danila-solorio-bethard-cuiless2016aclinicalcorpusapplyingcompositionalnormalizationoftextmentions-2018', 'https://doi.org/10.1186/s13326-017-0173-6', event);\">\n    CUILESS2016: a clinical corpus applying compositional normalization of text mentions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Osborne, J. D.; Neu, M. B.; Danila, M. I.; Solorio, T.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S. J.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Biomedical Semantics</i>, 9(1): 2. 1 2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1186/s13326-017-0173-6\"\n     onclick=\"log_download('osborne-neu-danila-solorio-bethard-cuiless2016aclinicalcorpusapplyingcompositionalnormalizationoftextmentions-2018', 'https://doi.org/10.1186/s13326-017-0173-6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"CUILESS2016: a clinical corpus applying compositional normalization of text mentions [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1186/s13326-017-0173-6\"\n     onclick=\"log_download('osborne-neu-danila-solorio-bethard-cuiless2016aclinicalcorpusapplyingcompositionalnormalizationoftextmentions-2018', 'http://doi.org/10.1186/s13326-017-0173-6', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/osborne-neu-danila-solorio-bethard-cuiless2016aclinicalcorpusapplyingcompositionalnormalizationoftextmentions-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('osborne-neu-danila-solorio-bethard-cuiless2016aclinicalcorpusapplyingcompositionalnormalizationoftextmentions-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{osborne-etal:2018:JBS,\nauthor=&quot;Osborne, John D.\nand Neu, Matthew B.\nand Danila, Maria I.\nand Solorio, Thamar\nand Bethard, Steven J.&quot;,\ntitle=&quot;CUILESS2016: a clinical corpus applying compositional normalization of text mentions&quot;,\njournal=&quot;Journal of Biomedical Semantics&quot;,\nyear=&quot;2018&quot;,\nmonth=&quot;1&quot;,\nday=&quot;10&quot;,\nvolume=&quot;9&quot;,\nnumber=&quot;1&quot;,\npages=&quot;2&quot;,\nissn=&quot;2041-1480&quot;,\ndoi=&quot;10.1186/s13326-017-0173-6&quot;,\nurl=&quot;https://doi.org/10.1186/s13326-017-0173-6&quot;,\nkeywords = {annotation, term normalization, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2017\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2017')\"\n      onkeypress=\"toggleGroup('group_2017')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2017</span>\n      <span class=\"bibbase_group_count\">\n        \n        (18)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"sharp-surdeanu-jansen-valenzuelaescarcega-clark-hammond-tellmewhyusingquestionansweringasdistantsupervisionforanswerjustification-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/K17-1009\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sharp-surdeanu-jansen-valenzuelaescarcega-clark-hammond-tellmewhyusingquestionansweringasdistantsupervisionforanswerjustification-2017', 'http://www.aclweb.org/anthology/K17-1009', event);\">\n    Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sharp, R.; Surdeanu, M.; Jansen, P.; Valenzuela-Escarcega, M. A; Clark, P.;  and Hammond, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)</i>, pages 69-79,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/K17-1009\"\n     onclick=\"log_download('sharp-surdeanu-jansen-valenzuelaescarcega-clark-hammond-tellmewhyusingquestionansweringasdistantsupervisionforanswerjustification-2017', 'http://www.aclweb.org/anthology/K17-1009', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sharp-surdeanu-jansen-valenzuelaescarcega-clark-hammond-tellmewhyusingquestionansweringasdistantsupervisionforanswerjustification-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sharp-surdeanu-jansen-valenzuelaescarcega-clark-hammond-tellmewhyusingquestionansweringasdistantsupervisionforanswerjustification-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{sharp2017tell,\n  title={Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification},\n  author={Sharp, Rebecca and Surdeanu, Mihai and Jansen, Peter and Valenzuela-Escarcega, Marco A and Clark, Peter and Hammond, Michael},\n  booktitle={Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)},\n  pages={69-79},\n  year={2017},\n  url={http://www.aclweb.org/anthology/K17-1009}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jansen-sharp-surdeanu-clark-framingqaasbuildingandrankingintersentenceanswerjustifications-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00287\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jansen-sharp-surdeanu-clark-framingqaasbuildingandrankingintersentenceanswerjustifications-2017', 'http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00287', event);\">\n    Framing QA as Building and Ranking Intersentence Answer Justifications.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jansen, P.; Sharp, R.; Surdeanu, M.;  and Clark, P.\n</span>\n\n  \n\n</span>\n\n  <i>Computational Linguistics</i>.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00287\"\n     onclick=\"log_download('jansen-sharp-surdeanu-clark-framingqaasbuildingandrankingintersentenceanswerjustifications-2017', 'http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00287', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Framing QA as Building and Ranking Intersentence Answer Justifications [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jansen-sharp-surdeanu-clark-framingqaasbuildingandrankingintersentenceanswerjustifications-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jansen-sharp-surdeanu-clark-framingqaasbuildingandrankingintersentenceanswerjustifications-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{jansen2017framing,\n  title={Framing QA as Building and Ranking Intersentence Answer Justifications},\n  author={Jansen, Peter and Sharp, Rebecca and Surdeanu, Mihai and Clark, Peter},\n  journal={Computational Linguistics},\n  year={2017},\n  publisher={MIT Press},\n  url={http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00287}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"noriegaatala-valenzuelaescarcega-morrison-surdeanu-learningwhattoreadfocusedmachinereading-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/1709.00149.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'noriegaatala-valenzuelaescarcega-morrison-surdeanu-learningwhattoreadfocusedmachinereading-2017', 'https://arxiv.org/pdf/1709.00149.pdf', event);\">\n    Learning what to read: Focused machine reading.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Noriega-Atala, E.; Valenzuela-Escarcega, M. A; Morrison, C.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing</i>, pages 2895-2900,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/1709.00149.pdf\"\n     onclick=\"log_download('noriegaatala-valenzuelaescarcega-morrison-surdeanu-learningwhattoreadfocusedmachinereading-2017', 'https://arxiv.org/pdf/1709.00149.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Learning what to read: Focused machine reading [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/noriegaatala-valenzuelaescarcega-morrison-surdeanu-learningwhattoreadfocusedmachinereading-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>4 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('noriegaatala-valenzuelaescarcega-morrison-surdeanu-learningwhattoreadfocusedmachinereading-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{noriega2017learning,\n  title={Learning what to read: Focused machine reading},\n  author={Noriega-Atala, Enrique and Valenzuela-Escarcega, Marco A and Morrison, Clayton and Surdeanu, Mihai},\n  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},\n  pages={2895-2900},\n  year={2017},\n  url={https://arxiv.org/pdf/1709.00149.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lee-surdeanu-jurafsky-ascaffoldingapproachtocoreferenceresolutionintegratingstatisticalandrulebasedmodels-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/042D0D6C6E125EFB939E0F2C2E63152B/S1351324917000109a.pdf/div-class-title-a-scaffolding-approach-to-coreference-resolution-integrating-statistical-and-rule-based-models-div.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lee-surdeanu-jurafsky-ascaffoldingapproachtocoreferenceresolutionintegratingstatisticalandrulebasedmodels-2017', 'https://www.cambridge.org/core/services/aop-cambridge-core/content/view/042D0D6C6E125EFB939E0F2C2E63152B/S1351324917000109a.pdf/div-class-title-a-scaffolding-approach-to-coreference-resolution-integrating-statistical-and-rule-based-models-div.pdf', event);\">\n    A scaffolding approach to coreference resolution integrating statistical and rule-based models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lee, H.; Surdeanu, M.;  and Jurafsky, D.\n</span>\n\n  \n\n</span>\n\n  <i>Natural Language Engineering</i>,1-30.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/042D0D6C6E125EFB939E0F2C2E63152B/S1351324917000109a.pdf/div-class-title-a-scaffolding-approach-to-coreference-resolution-integrating-statistical-and-rule-based-models-div.pdf\"\n     onclick=\"log_download('lee-surdeanu-jurafsky-ascaffoldingapproachtocoreferenceresolutionintegratingstatisticalandrulebasedmodels-2017', 'https://www.cambridge.org/core/services/aop-cambridge-core/content/view/042D0D6C6E125EFB939E0F2C2E63152B/S1351324917000109a.pdf/div-class-title-a-scaffolding-approach-to-coreference-resolution-integrating-statistical-and-rule-based-models-div.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A scaffolding approach to coreference resolution integrating statistical and rule-based models [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lee-surdeanu-jurafsky-ascaffoldingapproachtocoreferenceresolutionintegratingstatisticalandrulebasedmodels-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lee-surdeanu-jurafsky-ascaffoldingapproachtocoreferenceresolutionintegratingstatisticalandrulebasedmodels-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lee2017scaffolding,\n  title={A scaffolding approach to coreference resolution integrating statistical and rule-based models},\n  author={Lee, Heeyoung and Surdeanu, Mihai and Jurafsky, Dan},\n  journal={Natural Language Engineering},\n  pages={1-30},\n  year={2017},\n  publisher={Cambridge University Press},\n  url={https://www.cambridge.org/core/services/aop-cambridge-core/content/view/042D0D6C6E125EFB939E0F2C2E63152B/S1351324917000109a.pdf/div-class-title-a-scaffolding-approach-to-coreference-resolution-integrating-statistical-and-rule-based-models-div.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hahnpowell-valenzuelaescarcega-surdeanu-swansonlinkingrevisitedacceleratingliteraturebaseddiscoveryacrossdomainsusingaconceptualinfluencegraph-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/P17-4018\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hahnpowell-valenzuelaescarcega-surdeanu-swansonlinkingrevisitedacceleratingliteraturebaseddiscoveryacrossdomainsusingaconceptualinfluencegraph-2017', 'http://www.aclweb.org/anthology/P17-4018', event);\">\n    Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hahn-Powell, G.; Valenzuela-Escarcega, M. A;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  <i>Proceedings of ACL 2017, System Demonstrations</i>,103-108.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/P17-4018\"\n     onclick=\"log_download('hahnpowell-valenzuelaescarcega-surdeanu-swansonlinkingrevisitedacceleratingliteraturebaseddiscoveryacrossdomainsusingaconceptualinfluencegraph-2017', 'http://www.aclweb.org/anthology/P17-4018', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hahnpowell-valenzuelaescarcega-surdeanu-swansonlinkingrevisitedacceleratingliteraturebaseddiscoveryacrossdomainsusingaconceptualinfluencegraph-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hahnpowell-valenzuelaescarcega-surdeanu-swansonlinkingrevisitedacceleratingliteraturebaseddiscoveryacrossdomainsusingaconceptualinfluencegraph-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{hahn2017swanson,\n  title={Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph},\n  author={Hahn-Powell, Gus and Valenzuela-Escarcega, Marco A and Surdeanu, Mihai},\n  journal={Proceedings of ACL 2017, System Demonstrations},\n  pages={103-108},\n  year={2017},\n  url={http://www.aclweb.org/anthology/P17-4018}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"noriegaatala-valenzuelaescarcega-morrison-surdeanu-focusedreadingreinforcementlearningforwhatdocumentstoread-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/focusedreading2017.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'noriegaatala-valenzuelaescarcega-morrison-surdeanu-focusedreadingreinforcementlearningforwhatdocumentstoread-2017', 'http://clulab.org/papers/focusedreading2017.pdf', event);\">\n    Focused Reading: Reinforcement Learning for What Documents to Read.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Noriega-Atala, E.; Valenzuela-Escarcega, M. A.; Morrison, C. T.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Interactive Machine Learning and Semantic Information Retrieval Workshop at ICML, 2017</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/focusedreading2017.pdf\"\n     onclick=\"log_download('noriegaatala-valenzuelaescarcega-morrison-surdeanu-focusedreadingreinforcementlearningforwhatdocumentstoread-2017', 'http://clulab.org/papers/focusedreading2017.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Focused Reading: Reinforcement Learning for What Documents to Read [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/noriegaatala-valenzuelaescarcega-morrison-surdeanu-focusedreadingreinforcementlearningforwhatdocumentstoread-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('noriegaatala-valenzuelaescarcega-morrison-surdeanu-focusedreadingreinforcementlearningforwhatdocumentstoread-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{enrique2017focused,\n  title={Focused Reading: Reinforcement Learning for What Documents to Read},\n  author={Enrique Noriega-Atala and Marco A. Valenzuela-Escarcega and Clayton T. Morrison and Mihai Surdeanu},\n  booktitle={Proceedings of the Interactive Machine Learning and Semantic Information Retrieval Workshop at ICML, 2017},\n  year={2017},\n  url={http://clulab.org/papers/focusedreading2017.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedreadingwithreachdiscoversnewcancerdrivingmechanisms-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/biocreative6.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedreadingwithreachdiscoversnewcancerdrivingmechanisms-2017', 'http://clulab.org/papers/biocreative6.pdf', event);\">\n    Large-scale automated reading with Reach discovers new cancer driving mechanisms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Valenzuela-Escarcega, M. A.; Babur, O.; Hahn-Powell, G.; Bell, D.; Hicks, T.; Noriega-Atala, E.; Wang, X.; Surdeanu, M.; Demir, E.;  and Morrison, C. T.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Sixth BioCreative Challenge Evaluation Workshop</i>, pages 201-203,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/biocreative6.pdf\"\n     onclick=\"log_download('valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedreadingwithreachdiscoversnewcancerdrivingmechanisms-2017', 'http://clulab.org/papers/biocreative6.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Large-scale automated reading with Reach discovers new cancer driving mechanisms [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedreadingwithreachdiscoversnewcancerdrivingmechanisms-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('valenzuelaescarcega-babur-hahnpowell-bell-hicks-noriegaatala-wang-surdeanu-etal-largescaleautomatedreadingwithreachdiscoversnewcancerdrivingmechanisms-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{biocreative6,\ntitle={{Large-scale automated reading with Reach discovers new cancer driving mechanisms}},\nauthor={Valenzuela-Escarcega, Marco A. and Ozgun Babur and Gus Hahn-Powell and Dane Bell and Thomas Hicks and Enrique Noriega-Atala and Xia Wang and Mihai Surdeanu and Emek Demir and Clayton T. Morrison},\npages={201-203},\nyear={2017},\nbooktitle={Proceedings of the Sixth BioCreative Challenge Evaluation Workshop},\nurl={http://clulab.org/papers/biocreative6.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jansen-astudyofautomaticallyacquiringexplanatoryinferencepatternsfromcorporaofexplanationslessonsfromelementaryscienceexams-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://cognitiveai.org/wp-content/uploads/2017/11/jansen_akbc2017_automatically_acquiring_explanatory_inference_patterns_from_corpora_of_explanations.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jansen-astudyofautomaticallyacquiringexplanatoryinferencepatternsfromcorporaofexplanationslessonsfromelementaryscienceexams-2017', 'http://cognitiveai.org/wp-content/uploads/2017/11/jansen_akbc2017_automatically_acquiring_explanatory_inference_patterns_from_corpora_of_explanations.pdf', event);\">\n    A Study of Automatically Acquiring Explanatory Inference Patterns from Corpora of Explanations: Lessons from Elementary Science Exams.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jansen, P.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2017 Workshop on Automated Knowledge Base Construction</i>, of <i>AKBC'17</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://cognitiveai.org/wp-content/uploads/2017/11/jansen_akbc2017_automatically_acquiring_explanatory_inference_patterns_from_corpora_of_explanations.pdf\"\n     onclick=\"log_download('jansen-astudyofautomaticallyacquiringexplanatoryinferencepatternsfromcorporaofexplanationslessonsfromelementaryscienceexams-2017', 'http://cognitiveai.org/wp-content/uploads/2017/11/jansen_akbc2017_automatically_acquiring_explanatory_inference_patterns_from_corpora_of_explanations.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A Study of Automatically Acquiring Explanatory Inference Patterns from Corpora of Explanations: Lessons from Elementary Science Exams [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://cognitiveai.org/explanationbank/\"\n     onclick=\"log_download('jansen-astudyofautomaticallyacquiringexplanatoryinferencepatternsfromcorporaofexplanationslessonsfromelementaryscienceexams-2017', 'http://cognitiveai.org/explanationbank/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Study of Automatically Acquiring Explanatory Inference Patterns from Corpora of Explanations: Lessons from Elementary Science Exams [link]\"\n       title=\" data\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> data</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jansen-astudyofautomaticallyacquiringexplanatoryinferencepatternsfromcorporaofexplanationslessonsfromelementaryscienceexams-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jansen-astudyofautomaticallyacquiringexplanatoryinferencepatternsfromcorporaofexplanationslessonsfromelementaryscienceexams-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{jansen:akbc2017,\n author = {Peter Jansen},\n title = {A Study of Automatically Acquiring Explanatory Inference Patterns from Corpora of Explanations: Lessons from Elementary Science Exams},\n booktitle = {Proceedings of the 2017 Workshop on Automated Knowledge Base Construction},\n series = {AKBC&#x27;17},\n year = {2017},\n url = {http://cognitiveai.org/wp-content/uploads/2017/11/jansen_akbc2017_automatically_acquiring_explanatory_inference_patterns_from_corpora_of_explanations.pdf},\n url_data = {http://cognitiveai.org/explanationbank/}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"do-bethard-moens-improvingimplicitsemanticrolelabelingbypredictingsemanticframearguments-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/I17-1010\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'do-bethard-moens-improvingimplicitsemanticrolelabelingbypredictingsemanticframearguments-2017', 'http://www.aclweb.org/anthology/I17-1010', event);\">\n    Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Do, Q. N. T.; Bethard, S.;  and Moens, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)</i>, pages 90–99, Taipei, Taiwan, 11 2017. Asian Federation of Natural Language Processing\n  <span class=\"note\">[Acceptance rate 31%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/I17-1010\"\n     onclick=\"log_download('do-bethard-moens-improvingimplicitsemanticrolelabelingbypredictingsemanticframearguments-2017', 'http://www.aclweb.org/anthology/I17-1010', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/do-bethard-moens-improvingimplicitsemanticrolelabelingbypredictingsemanticframearguments-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('do-bethard-moens-improvingimplicitsemanticrolelabelingbypredictingsemanticframearguments-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{do-bethard-moens:2017:I17-1,\n  author    = {Do, Quynh Ngoc Thi  and  Bethard, Steven  and  Moens, Marie-Francine},\n  title     = {Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments},\n  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},\n  month     = {11},\n  year      = {2017},\n  address   = {Taipei, Taiwan},\n  publisher = {Asian Federation of Natural Language Processing},\n  pages     = {90--99},\n  url       = {http://www.aclweb.org/anthology/I17-1010},\n  note = {[Acceptance rate 31\\%]},\n  keywords = {semantic relations},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sadeque-xu-bethard-uarizonaatthecleferisk2017pilottasklinearandrecurrentmodelsforearlydepressiondetection-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://ceur-ws.org/Vol-1866/paper_58.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sadeque-xu-bethard-uarizonaatthecleferisk2017pilottasklinearandrecurrentmodelsforearlydepressiondetection-2017', 'http://ceur-ws.org/Vol-1866/paper_58.pdf', event);\">\n    UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sadeque, F.; Xu, D.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>CEUR workshop proceedings: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum</i>, Dublin, Ireland, 9 2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://ceur-ws.org/Vol-1866/paper_58.pdf\"\n     onclick=\"log_download('sadeque-xu-bethard-uarizonaatthecleferisk2017pilottasklinearandrecurrentmodelsforearlydepressiondetection-2017', 'http://ceur-ws.org/Vol-1866/paper_58.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sadeque-xu-bethard-uarizonaatthecleferisk2017pilottasklinearandrecurrentmodelsforearlydepressiondetection-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sadeque-xu-bethard-uarizonaatthecleferisk2017pilottasklinearandrecurrentmodelsforearlydepressiondetection-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{sadeque-xu-bethard:2017:CLEF,\n  author = {Farig Sadeque and Dongfang Xu and Steven Bethard},\n  title = {{UArizona} at the {CLEF eRisk} 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection},\n  booktitle = {CEUR workshop proceedings: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum},\n  address = {Dublin, Ireland},\n  month = {9},\n  year = {2017},\n  url = {http://ceur-ws.org/Vol-1866/paper_58.pdf},\n  keywords = {health applications, social media, shared task paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"pradhan-zhang-bethard-infusinglatentuserconcernsfromuserreviewsintocollaborativefiltering-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://doi.ieeecomputersociety.org/10.1109/IRI.2017.24\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'pradhan-zhang-bethard-infusinglatentuserconcernsfromuserreviewsintocollaborativefiltering-2017', 'http://doi.ieeecomputersociety.org/10.1109/IRI.2017.24', event);\">\n    Infusing Latent User-Concerns from User Reviews into Collaborative Filtering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Pradhan, L.; Zhang, C.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>2017 IEEE International Conference on Information Reuse and Integration (IRI)</i>, pages 471-477, 8 2017. \n  <span class=\"note\">[Acceptance rate 29%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://doi.ieeecomputersociety.org/10.1109/IRI.2017.24\"\n     onclick=\"log_download('pradhan-zhang-bethard-infusinglatentuserconcernsfromuserreviewsintocollaborativefiltering-2017', 'http://doi.ieeecomputersociety.org/10.1109/IRI.2017.24', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Infusing Latent User-Concerns from User Reviews into Collaborative Filtering [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/IRI.2017.24\"\n     onclick=\"log_download('pradhan-zhang-bethard-infusinglatentuserconcernsfromuserreviewsintocollaborativefiltering-2017', 'http://doi.org/10.1109/IRI.2017.24', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/pradhan-zhang-bethard-infusinglatentuserconcernsfromuserreviewsintocollaborativefiltering-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('pradhan-zhang-bethard-infusinglatentuserconcernsfromuserreviewsintocollaborativefiltering-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@INPROCEEDINGS{pradhan-zhang-bethard:2017:IRI,\nauthor = {Ligaj Pradhan and Chengcui Zhang and Steven Bethard},\nbooktitle = {2017 IEEE International Conference on Information Reuse and Integration (IRI)},\ntitle = {Infusing Latent User-Concerns from User Reviews into Collaborative Filtering},\nyear = {2017},\nvolume = {},\nnumber = {},\npages = {471-477},\ndoi = {10.1109/IRI.2017.24},\nurl = {http://doi.ieeecomputersociety.org/10.1109/IRI.2017.24},\nmonth={8},\nnote = {[Acceptance rate 29\\%]},\nkeywords = {information retrieval, recommender systems},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lin-miller-dligach-bethard-savova-representationsoftimeexpressionsfortemporalrelationextractionwithconvolutionalneuralnetworks-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/W17-2341\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lin-miller-dligach-bethard-savova-representationsoftimeexpressionsfortemporalrelationextractionwithconvolutionalneuralnetworks-2017', 'http://www.aclweb.org/anthology/W17-2341', event);\">\n    Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lin, C.; Miller, T.; Dligach, D.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>BioNLP 2017</i>, pages 322–327, Vancouver, Canada,, 8 2017. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/W17-2341\"\n     onclick=\"log_download('lin-miller-dligach-bethard-savova-representationsoftimeexpressionsfortemporalrelationextractionwithconvolutionalneuralnetworks-2017', 'http://www.aclweb.org/anthology/W17-2341', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lin-miller-dligach-bethard-savova-representationsoftimeexpressionsfortemporalrelationextractionwithconvolutionalneuralnetworks-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lin-miller-dligach-bethard-savova-representationsoftimeexpressionsfortemporalrelationextractionwithconvolutionalneuralnetworks-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{lin-EtAl:2017:BioNLP17,\n  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Bethard, Steven  and  Savova, Guergana},\n  title     = {Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks},\n  booktitle = {BioNLP 2017},\n  month     = {8},\n  year      = {2017},\n  address   = {Vancouver, Canada,},\n  publisher = {Association for Computational Linguistics},\n  pages     = {322--327},\n  url       = {http://www.aclweb.org/anthology/W17-2341},\n  keywords = {timelines, information extraction, health applications, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"miller-bethard-amiri-savova-unsuperviseddomainadaptationforclinicalnegationdetection-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/W17-2320\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'miller-bethard-amiri-savova-unsuperviseddomainadaptationforclinicalnegationdetection-2017', 'http://www.aclweb.org/anthology/W17-2320', event);\">\n    Unsupervised Domain Adaptation for Clinical Negation Detection.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Miller, T.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>; Amiri, H.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>BioNLP 2017</i>, pages 165–170, Vancouver, Canada,, 8 2017. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/W17-2320\"\n     onclick=\"log_download('miller-bethard-amiri-savova-unsuperviseddomainadaptationforclinicalnegationdetection-2017', 'http://www.aclweb.org/anthology/W17-2320', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Unsupervised Domain Adaptation for Clinical Negation Detection [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/miller-bethard-amiri-savova-unsuperviseddomainadaptationforclinicalnegationdetection-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('miller-bethard-amiri-savova-unsuperviseddomainadaptationforclinicalnegationdetection-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{miller-EtAl:2017:BioNLP17,\n  author    = {Miller, Timothy  and  Bethard, Steven  and  Amiri, Hadi  and  Savova, Guergana},\n  title     = {Unsupervised Domain Adaptation for Clinical Negation Detection},\n  booktitle = {BioNLP 2017},\n  month     = {8},\n  year      = {2017},\n  address   = {Vancouver, Canada,},\n  publisher = {Association for Computational Linguistics},\n  pages     = {165--170},\n  url       = {http://www.aclweb.org/anthology/W17-2320},\n  keywords = {negation, domain adaptation, health applications, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bethard-savova-palmer-pustejovsky-semeval2017task12clinicaltempeval-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/S17-2093\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bethard-savova-palmer-pustejovsky-semeval2017task12clinicaltempeval-2017', 'http://www.aclweb.org/anthology/S17-2093', event);\">\n    SemEval-2017 Task 12: Clinical TempEval.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bethard, S.; Savova, G.; Palmer, M.;  and Pustejovsky, J.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)</i>, pages 565–572, Vancouver, Canada, 8 2017. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/S17-2093\"\n     onclick=\"log_download('bethard-savova-palmer-pustejovsky-semeval2017task12clinicaltempeval-2017', 'http://www.aclweb.org/anthology/S17-2093', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"SemEval-2017 Task 12: Clinical TempEval [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bethard-savova-palmer-pustejovsky-semeval2017task12clinicaltempeval-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bethard-savova-palmer-pustejovsky-semeval2017task12clinicaltempeval-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{bethard-EtAl:2017:SemEval,\n  author    = {Bethard, Steven  and  Savova, Guergana  and  Palmer, Martha  and  Pustejovsky, James},\n  title     = {SemEval-2017 Task 12: Clinical TempEval},\n  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},\n  month     = {8},\n  year      = {2017},\n  address   = {Vancouver, Canada},\n  publisher = {Association for Computational Linguistics},\n  pages     = {565--572},\n  url       = {http://www.aclweb.org/anthology/S17-2093},\n  keywords = {timelines, information extraction, health applications, domain adaptation, shared task paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bethard-carpuat-apidianaki-mohammad-cer-jurgens-proceedingsofthe11thinternationalworkshoponsemanticevaluationsemeval2017-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/S17-2\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bethard-carpuat-apidianaki-mohammad-cer-jurgens-proceedingsofthe11thinternationalworkshoponsemanticevaluationsemeval2017-2017', 'http://www.aclweb.org/anthology/S17-2', event);\">\n    Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017).\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bethard, S.; Carpuat, M.; Apidianaki, M.; Mohammad, S. M.; Cer, D.;  and Jurgens, D.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  Association for Computational Linguistics. Vancouver, Canada, 8 2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/S17-2\"\n     onclick=\"log_download('bethard-carpuat-apidianaki-mohammad-cer-jurgens-proceedingsofthe11thinternationalworkshoponsemanticevaluationsemeval2017-2017', 'http://www.aclweb.org/anthology/S17-2', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bethard-carpuat-apidianaki-mohammad-cer-jurgens-proceedingsofthe11thinternationalworkshoponsemanticevaluationsemeval2017-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bethard-carpuat-apidianaki-mohammad-cer-jurgens-proceedingsofthe11thinternationalworkshoponsemanticevaluationsemeval2017-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{SemEval:2017,\n  editor    = {Steven Bethard  and  Marine Carpuat  and  Marianna Apidianaki  and  Saif M. Mohammad  and  Daniel Cer  and  David Jurgens},\n  title     = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},\n  month     = {8},\n  year      = {2017},\n  address   = {Vancouver, Canada},\n  publisher = {Association for Computational Linguistics},\n  url       = {http://www.aclweb.org/anthology/S17-2},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"viani-miller-dligach-bethard-napolitano-priori-bellazzi-sacchi-etal-recurrentneuralnetworkarchitecturesforeventextractionfromitalianmedicalreports-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1007/978-3-319-59758-4_21\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'viani-miller-dligach-bethard-napolitano-priori-bellazzi-sacchi-etal-recurrentneuralnetworkarchitecturesforeventextractionfromitalianmedicalreports-2017', 'https://doi.org/10.1007/978-3-319-59758-4_21', event);\">\n    Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Viani, N.; Miller, T. A.; Dligach, D.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>; Napolitano, C.; Priori, S. G.; Bellazzi, R.; Sacchi, L.;  and Savova, G. K.\n</span>\n\n  \n\n</span>\n\n  In ten Teije, A.; Popow, C.; Holmes, J. H.;  and Sacchi, L., editor(s), <i>Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings</i>, pages 198–202, Cham,  2017. Springer International Publishing\n  <span class=\"note\">[Acceptance rate 39%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1007/978-3-319-59758-4_21\"\n     onclick=\"log_download('viani-miller-dligach-bethard-napolitano-priori-bellazzi-sacchi-etal-recurrentneuralnetworkarchitecturesforeventextractionfromitalianmedicalreports-2017', 'https://doi.org/10.1007/978-3-319-59758-4_21', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/978-3-319-59758-4_21\"\n     onclick=\"log_download('viani-miller-dligach-bethard-napolitano-priori-bellazzi-sacchi-etal-recurrentneuralnetworkarchitecturesforeventextractionfromitalianmedicalreports-2017', 'http://doi.org/10.1007/978-3-319-59758-4_21', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/viani-miller-dligach-bethard-napolitano-priori-bellazzi-sacchi-etal-recurrentneuralnetworkarchitecturesforeventextractionfromitalianmedicalreports-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('viani-miller-dligach-bethard-napolitano-priori-bellazzi-sacchi-etal-recurrentneuralnetworkarchitecturesforeventextractionfromitalianmedicalreports-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{viani-EtAl:2017:AIME,\nauthor=&quot;Viani, Natalia\nand Miller, Timothy A.\nand Dligach, Dmitriy\nand Bethard, Steven\nand Napolitano, Carlo\nand Priori, Silvia G.\nand Bellazzi, Riccardo\nand Sacchi, Lucia\nand Savova, Guergana K.&quot;,\neditor=&quot;ten Teije, Annette\nand Popow, Christian\nand Holmes, John H.\nand Sacchi, Lucia&quot;,\ntitle=&quot;Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports&quot;,\nbookTitle=&quot;Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings&quot;,\nyear=&quot;2017&quot;,\npublisher=&quot;Springer International Publishing&quot;,\naddress=&quot;Cham&quot;,\npages=&quot;198--202&quot;,\nisbn=&quot;978-3-319-59758-4&quot;,\ndoi=&quot;10.1007/978-3-319-59758-4_21&quot;,\nurl=&quot;https://doi.org/10.1007/978-3-319-59758-4_21&quot;,\nnote = {[Acceptance rate 39\\%]},\nkeywords = {timelines, information extraction, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"miller-dligach-bethard-lin-savova-towardsgeneralizableentitycentricclinicalcoreferenceresolution-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S1532046417300850\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'miller-dligach-bethard-lin-savova-towardsgeneralizableentitycentricclinicalcoreferenceresolution-2017', 'http://www.sciencedirect.com/science/article/pii/S1532046417300850', event);\">\n    Towards generalizable entity-centric clinical coreference resolution .\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Miller, T.; Dligach, D.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>; Lin, C.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Biomedical Informatics </i>, 69: 251 - 258.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S1532046417300850\"\n     onclick=\"log_download('miller-dligach-bethard-lin-savova-towardsgeneralizableentitycentricclinicalcoreferenceresolution-2017', 'http://www.sciencedirect.com/science/article/pii/S1532046417300850', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Towards generalizable entity-centric clinical coreference resolution  [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/https://doi.org/10.1016/j.jbi.2017.04.015\"\n     onclick=\"log_download('miller-dligach-bethard-lin-savova-towardsgeneralizableentitycentricclinicalcoreferenceresolution-2017', 'http://doi.org/https://doi.org/10.1016/j.jbi.2017.04.015', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/miller-dligach-bethard-lin-savova-towardsgeneralizableentitycentricclinicalcoreferenceresolution-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('miller-dligach-bethard-lin-savova-towardsgeneralizableentitycentricclinicalcoreferenceresolution-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{miller-EtAl:2017:JBI,\ntitle = &quot;Towards generalizable entity-centric clinical coreference resolution &quot;,\njournal = &quot;Journal of Biomedical Informatics &quot;,\nvolume = &quot;69&quot;,\nnumber = &quot;&quot;,\npages = &quot;251 - 258&quot;,\nyear = &quot;2017&quot;,\nnote = &quot;&quot;,\nissn = &quot;1532-0464&quot;,\ndoi = &quot;https://doi.org/10.1016/j.jbi.2017.04.015&quot;,\nurl = &quot;http://www.sciencedirect.com/science/article/pii/S1532046417300850&quot;,\nauthor = &quot;Timothy Miller and Dmitriy Dligach and Steven Bethard and Chen Lin and Guergana Savova&quot;,\nkeywords = {coreference, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"dligach-miller-lin-bethard-savova-neuraltemporalrelationextraction-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/E17-2118\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'dligach-miller-lin-bethard-savova-neuraltemporalrelationextraction-2017', 'http://www.aclweb.org/anthology/E17-2118', event);\">\n    Neural Temporal Relation Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Dligach, D.; Miller, T.; Lin, C.; Bethard, S.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers</i>, pages 746–751, Valencia, Spain, 4 2017. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 24%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/E17-2118\"\n     onclick=\"log_download('dligach-miller-lin-bethard-savova-neuraltemporalrelationextraction-2017', 'http://www.aclweb.org/anthology/E17-2118', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Neural Temporal Relation Extraction [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/dligach-miller-lin-bethard-savova-neuraltemporalrelationextraction-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('dligach-miller-lin-bethard-savova-neuraltemporalrelationextraction-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{dligach-EtAl:2017:EACLshort,\n  author    = {Dligach, Dmitriy  and  Miller, Timothy  and  Lin, Chen  and  Bethard, Steven  and  Savova, Guergana},\n  title     = {Neural Temporal Relation Extraction},\n  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},\n  month     = {4},\n  year      = {2017},\n  address   = {Valencia, Spain},\n  publisher = {Association for Computational Linguistics},\n  pages     = {746--751},\n  url       = {http://www.aclweb.org/anthology/E17-2118},\n  note = {[Acceptance rate 24\\%]},\n  keywords = {timelines, information extraction, health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2016\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2016')\"\n      onkeypress=\"toggleGroup('group_2016')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2016</span>\n      <span class=\"bibbase_group_count\">\n        \n        (15)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"jansen-balasubramanian-surdeanu-clark-whatsinanexplanationcharacterizingknowledgeandinferencerequirementsforelementaryscienceexams-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://aclweb.org/anthology/C16-1278\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jansen-balasubramanian-surdeanu-clark-whatsinanexplanationcharacterizingknowledgeandinferencerequirementsforelementaryscienceexams-2016', 'http://aclweb.org/anthology/C16-1278', event);\">\n    What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jansen, P.; Balasubramanian, N.; Surdeanu, M.;  and Clark, P.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</i>, pages 2956-2965, Osaka, Japan, December 2016. The COLING 2016 Organizing Committee\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://aclweb.org/anthology/C16-1278\"\n     onclick=\"log_download('jansen-balasubramanian-surdeanu-clark-whatsinanexplanationcharacterizingknowledgeandinferencerequirementsforelementaryscienceexams-2016', 'http://aclweb.org/anthology/C16-1278', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"What&#x27;s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://allenai.org/data.html\"\n     onclick=\"log_download('jansen-balasubramanian-surdeanu-clark-whatsinanexplanationcharacterizingknowledgeandinferencerequirementsforelementaryscienceexams-2016', 'http://allenai.org/data.html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"What&#x27;s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams [link]\"\n       title=\" data\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> data</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jansen-balasubramanian-surdeanu-clark-whatsinanexplanationcharacterizingknowledgeandinferencerequirementsforelementaryscienceexams-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jansen-balasubramanian-surdeanu-clark-whatsinanexplanationcharacterizingknowledgeandinferencerequirementsforelementaryscienceexams-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{jansen-EtAl:2016:COLING,\n  author    = {Jansen, Peter  and  Balasubramanian, Niranjan  and  Surdeanu, Mihai  and  Clark, Peter},\n  title     = {What&#x27;s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams},\n  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},\n  month     = {December},\n  year      = {2016},\n  address   = {Osaka, Japan},\n  publisher = {The COLING 2016 Organizing Committee},\n  pages     = {2956-2965},\n  url       = {http://aclweb.org/anthology/C16-1278},\n  url_Data  = {http://allenai.org/data.html},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"valenzuelaescarcega-hahnpowell-bell-surdeanu-snaptogridfromstatisticaltointerpretablemodelsforbiomedicalinformationextraction-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1606.09604\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'valenzuelaescarcega-hahnpowell-bell-surdeanu-snaptogridfromstatisticaltointerpretablemodelsforbiomedicalinformationextraction-2016', 'https://arxiv.org/abs/1606.09604', event);\">\n    SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Valenzuela-Escarcega, M. A.; Hahn-Powell, G.; Bell, D.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2016 Workshop on Biomedical Natural Language Processing (BioNLP 2016)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1606.09604\"\n     onclick=\"log_download('valenzuelaescarcega-hahnpowell-bell-surdeanu-snaptogridfromstatisticaltointerpretablemodelsforbiomedicalinformationextraction-2016', 'https://arxiv.org/abs/1606.09604', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/valenzuelaescarcega-hahnpowell-bell-surdeanu-snaptogridfromstatisticaltointerpretablemodelsforbiomedicalinformationextraction-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('valenzuelaescarcega-hahnpowell-bell-surdeanu-snaptogridfromstatisticaltointerpretablemodelsforbiomedicalinformationextraction-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Valenzuela:16b,\n  author    = {Valenzuela-Escarcega, Marco A. and Gustave Hahn-Powell and Dane Bell and Mihai Surdeanu},\n  title     = {SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction},\n  booktitle = {Proceedings of the 2016 Workshop on Biomedical Natural Language Processing (BioNLP 2016)},\n  year      = {2016},\n  url       = {https://arxiv.org/abs/1606.09604},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hahnpowell-bell-valenzuelaescarcega-surdeanu-thisbeforethatcausalprecedenceinthebiomedicaldomain-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1606.08089\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hahnpowell-bell-valenzuelaescarcega-surdeanu-thisbeforethatcausalprecedenceinthebiomedicaldomain-2016', 'https://arxiv.org/abs/1606.08089', event);\">\n    This before That: Causal Precedence in the Biomedical Domain.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hahn-Powell, G.; Bell, D.; Valenzuela-Escarcega, M. A.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2016 Workshop on Biomedical Natural Language Processing (BioNLP 2016)</i>,  2016. \n  <span class=\"note\">Latest results can be found at https://repository.arizona.edu/handle/10150/630562</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1606.08089\"\n     onclick=\"log_download('hahnpowell-bell-valenzuelaescarcega-surdeanu-thisbeforethatcausalprecedenceinthebiomedicaldomain-2016', 'https://arxiv.org/abs/1606.08089', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"This before That: Causal Precedence in the Biomedical Domain [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hahnpowell-bell-valenzuelaescarcega-surdeanu-thisbeforethatcausalprecedenceinthebiomedicaldomain-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hahnpowell-bell-valenzuelaescarcega-surdeanu-thisbeforethatcausalprecedenceinthebiomedicaldomain-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{HahnPowell:16,\n  author    = {Gustave Hahn-Powell and Dane Bell and Valenzuela-Escarcega, Marco A. and Mihai Surdeanu},\n  title     = {This before That: Causal Precedence in the Biomedical Domain},\n  booktitle = {Proceedings of the 2016 Workshop on Biomedical Natural Language Processing (BioNLP 2016)},\n  year      = {2016},\n  url       = {https://arxiv.org/abs/1606.08089},\n  note         = {Latest results can be found at {https://repository.arizona.edu/handle/10150/630562}}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sharp-surdeanu-jansen-clark-hammond-creatingcausalembeddingsforquestionansweringwithminimalsupervision-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://arxiv.org/abs/1609.08097\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sharp-surdeanu-jansen-clark-hammond-creatingcausalembeddingsforquestionansweringwithminimalsupervision-2016', 'http://arxiv.org/abs/1609.08097', event);\">\n    Creating Causal Embeddings for Question Answering with Minimal Supervision.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sharp, R.; Surdeanu, M.; Jansen, P.; Clark, P.;  and Hammond, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://arxiv.org/abs/1609.08097\"\n     onclick=\"log_download('sharp-surdeanu-jansen-clark-hammond-creatingcausalembeddingsforquestionansweringwithminimalsupervision-2016', 'http://arxiv.org/abs/1609.08097', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Creating Causal Embeddings for Question Answering with Minimal Supervision [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/data/emnlp2016-causal/\"\n     onclick=\"log_download('sharp-surdeanu-jansen-clark-hammond-creatingcausalembeddingsforquestionansweringwithminimalsupervision-2016', 'http://clulab.org/data/emnlp2016-causal/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Creating Causal Embeddings for Question Answering with Minimal Supervision [link]\"\n       title=\" data and code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> data and code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sharp-surdeanu-jansen-clark-hammond-creatingcausalembeddingsforquestionansweringwithminimalsupervision-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>8 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sharp-surdeanu-jansen-clark-hammond-creatingcausalembeddingsforquestionansweringwithminimalsupervision-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Sharp2016,\n\tyear = {2016},\n\tauthor = {Sharp, Rebecca and Mihai Surdeanu and Peter Jansen and Peter Clark and Michael Hammond},\n\tbooktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n\ttitle = {Creating Causal Embeddings for Question Answering with Minimal Supervision},\n  url = {http://arxiv.org/abs/1609.08097},\n  url_Data_and_Code = {http://clulab.org/data/emnlp2016-causal/},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bell-hahnpowell-valenzuelaescarcega-hahnpowell-surdeanu-aninvestigationofcoreferencephenomenainthebiomedicaldomain-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/lrec2016-coref.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bell-hahnpowell-valenzuelaescarcega-hahnpowell-surdeanu-aninvestigationofcoreferencephenomenainthebiomedicaldomain-2016', 'http://clulab.org/papers/lrec2016-coref.pdf', event);\">\n    An Investigation of Coreference Phenomena in the Biomedical Domain.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bell, D.; Hahn-Powell, G.; Valenzuela-Escarcega, M. A.; Hahn-Powell, G.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/lrec2016-coref.pdf\"\n     onclick=\"log_download('bell-hahnpowell-valenzuelaescarcega-hahnpowell-surdeanu-aninvestigationofcoreferencephenomenainthebiomedicaldomain-2016', 'http://clulab.org/papers/lrec2016-coref.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"An Investigation of Coreference Phenomena in the Biomedical Domain [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/clulab/reach\"\n     onclick=\"log_download('bell-hahnpowell-valenzuelaescarcega-hahnpowell-surdeanu-aninvestigationofcoreferencephenomenainthebiomedicaldomain-2016', 'https://github.com/clulab/reach', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"An Investigation of Coreference Phenomena in the Biomedical Domain [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bell-hahnpowell-valenzuelaescarcega-hahnpowell-surdeanu-aninvestigationofcoreferencephenomenainthebiomedicaldomain-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bell-hahnpowell-valenzuelaescarcega-hahnpowell-surdeanu-aninvestigationofcoreferencephenomenainthebiomedicaldomain-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Bell:16,\n  author    = {Bell, Dane and Gustave Hahn-Powell and Marco A. Valenzuela-Escarcega and Gustave Hahn-Powell  and Mihai Surdeanu},\n  title     = {An Investigation of Coreference Phenomena in the Biomedical Domain},\n  booktitle = {Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)},\n  year      = {2016},\n  url       = {http://clulab.org/papers/lrec2016-coref.pdf},\n  url_Code  = {https://github.com/clulab/reach},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"valenzuelaescarcega-hahnpowell-surdeanu-odinsrunesarulelanguageforinformationextraction-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://surdeanu.info/mihai/papers/lrec2016-odin.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'valenzuelaescarcega-hahnpowell-surdeanu-odinsrunesarulelanguageforinformationextraction-2016', 'http://surdeanu.info/mihai/papers/lrec2016-odin.pdf', event);\">\n    Odin's Runes: A Rule Language for Information Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Valenzuela-Escarcega, M. A.; Hahn-Powell, G.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://surdeanu.info/mihai/papers/lrec2016-odin.pdf\"\n     onclick=\"log_download('valenzuelaescarcega-hahnpowell-surdeanu-odinsrunesarulelanguageforinformationextraction-2016', 'http://surdeanu.info/mihai/papers/lrec2016-odin.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Odin&#x27;s Runes: A Rule Language for Information Extraction [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/sistanlp/processors\"\n     onclick=\"log_download('valenzuelaescarcega-hahnpowell-surdeanu-odinsrunesarulelanguageforinformationextraction-2016', 'https://github.com/sistanlp/processors', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Odin&#x27;s Runes: A Rule Language for Information Extraction [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/valenzuelaescarcega-hahnpowell-surdeanu-odinsrunesarulelanguageforinformationextraction-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>14 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('valenzuelaescarcega-hahnpowell-surdeanu-odinsrunesarulelanguageforinformationextraction-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Valenzuela:16,\n  author    = {Valenzuela-Escarcega, Marco A. and Gustave Hahn-Powell  and Mihai Surdeanu},\n  title     = {Odin&#x27;s Runes: A Rule Language for Information Extraction},\n  booktitle = {Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)},\n  year      = {2016},\n  url       = {http://surdeanu.info/mihai/papers/lrec2016-odin.pdf},\n  url_Code  = {https://github.com/sistanlp/processors},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"bell-fried-huangfu-surdeanu-kobourov-towardsusingsocialmediatoidentifyindividualsatriskforpreventablechronicillness-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/lrec2016-t4f.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bell-fried-huangfu-surdeanu-kobourov-towardsusingsocialmediatoidentifyindividualsatriskforpreventablechronicillness-2016', 'http://clulab.org/papers/lrec2016-t4f.pdf', event);\">\n    Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bell, D.; Fried, D.; Huangfu, L.; Surdeanu, M.;  and Kobourov, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/lrec2016-t4f.pdf\"\n     onclick=\"log_download('bell-fried-huangfu-surdeanu-kobourov-towardsusingsocialmediatoidentifyindividualsatriskforpreventablechronicillness-2016', 'http://clulab.org/papers/lrec2016-t4f.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/clulab/twitter4food\"\n     onclick=\"log_download('bell-fried-huangfu-surdeanu-kobourov-towardsusingsocialmediatoidentifyindividualsatriskforpreventablechronicillness-2016', 'https://github.com/clulab/twitter4food', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bell-fried-huangfu-surdeanu-kobourov-towardsusingsocialmediatoidentifyindividualsatriskforpreventablechronicillness-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bell-fried-huangfu-surdeanu-kobourov-towardsusingsocialmediatoidentifyindividualsatriskforpreventablechronicillness-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Bell:16b,\n  author    = {Bell, Dane and Daniel Fried and Luwen Huangfu and Mihai Surdeanu and Stephen Kobourov},\n  title     = {Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness},\n  booktitle = {Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC)},\n  year      = {2016},\n  url       = {http://clulab.org/papers/lrec2016-t4f.pdf},\n  url_Code  = {https://github.com/clulab/twitter4food},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"pradhan-zhang-bethard-extractinghierarchyofcoherentuserconcernstodiscoverintricateuserbehaviorfromuserreviews-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dx.doi.org/10.4018/IJMDEM.2016100104\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'pradhan-zhang-bethard-extractinghierarchyofcoherentuserconcernstodiscoverintricateuserbehaviorfromuserreviews-2016', 'https://dx.doi.org/10.4018/IJMDEM.2016100104', event);\">\n    Extracting Hierarchy of Coherent User-Concerns to Discover Intricate User Behavior from User Reviews.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Pradhan, L.; Zhang, C.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Multimedia Data Engineering and Management (IJMDEM)</i>, 7(4): 63–80.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dx.doi.org/10.4018/IJMDEM.2016100104\"\n     onclick=\"log_download('pradhan-zhang-bethard-extractinghierarchyofcoherentuserconcernstodiscoverintricateuserbehaviorfromuserreviews-2016', 'https://dx.doi.org/10.4018/IJMDEM.2016100104', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Extracting Hierarchy of Coherent User-Concerns to Discover Intricate User Behavior from User Reviews [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/pradhan-zhang-bethard-extractinghierarchyofcoherentuserconcernstodiscoverintricateuserbehaviorfromuserreviews-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('pradhan-zhang-bethard-extractinghierarchyofcoherentuserconcernstodiscoverintricateuserbehaviorfromuserreviews-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{pradhan2016extracting,\n  title={Extracting Hierarchy of Coherent User-Concerns to Discover Intricate User Behavior from User Reviews},\n  author={Pradhan, Ligaj and Zhang, Chengcui and Bethard, Steven},\n  journal={International Journal of Multimedia Data Engineering and Management (IJMDEM)},\n  volume={7},\n  number={4},\n  pages={63--80},\n  year={2016},\n  publisher={IGI Global},\n  url={https://dx.doi.org/10.4018/IJMDEM.2016100104},\n  keywords={information retrieval, recommender systems},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rumshisky-roberts-bethard-naumann-proceedingsoftheclinicalnaturallanguageprocessingworkshopclinicalnlp-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://aclweb.org/anthology/W16-42\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rumshisky-roberts-bethard-naumann-proceedingsoftheclinicalnaturallanguageprocessingworkshopclinicalnlp-2016', 'http://aclweb.org/anthology/W16-42', event);\">\n    Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP).\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rumshisky, A.; Roberts, K.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Naumann, T.,\n  editors.\n  \n</span>\n\n  \n\n</span>\n\n  The COLING 2016 Organizing Committee. Osaka, Japan, 12 2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://aclweb.org/anthology/W16-42\"\n     onclick=\"log_download('rumshisky-roberts-bethard-naumann-proceedingsoftheclinicalnaturallanguageprocessingworkshopclinicalnlp-2016', 'http://aclweb.org/anthology/W16-42', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP) [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rumshisky-roberts-bethard-naumann-proceedingsoftheclinicalnaturallanguageprocessingworkshopclinicalnlp-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rumshisky-roberts-bethard-naumann-proceedingsoftheclinicalnaturallanguageprocessingworkshopclinicalnlp-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@proceedings{ClinicalNLP:2016,\n  editor    = {Anna Rumshisky  and  Kirk Roberts  and  Steven Bethard  and  Tristan Naumann},\n  title     = {Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP)},\n  month     = {12},\n  year      = {2016},\n  address   = {Osaka, Japan},\n  publisher = {The COLING 2016 Organizing Committee},\n  url       = {http://aclweb.org/anthology/W16-42},\n  keywords = {health applications},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"do-bethard-moens-facingthemostdifficultcaseofsemanticrolelabelingacollaborationofwordembeddingsandcotraining-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://aclweb.org/anthology/C16-1121\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'do-bethard-moens-facingthemostdifficultcaseofsemanticrolelabelingacollaborationofwordembeddingsandcotraining-2016', 'http://aclweb.org/anthology/C16-1121', event);\">\n    Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Do, Q. N. T.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Moens, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</i>, pages 1275–1284, Osaka, Japan, 12 2016. The COLING 2016 Organizing Committee\n  <span class=\"note\">[Acceptance rate 32%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://aclweb.org/anthology/C16-1121\"\n     onclick=\"log_download('do-bethard-moens-facingthemostdifficultcaseofsemanticrolelabelingacollaborationofwordembeddingsandcotraining-2016', 'http://aclweb.org/anthology/C16-1121', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/do-bethard-moens-facingthemostdifficultcaseofsemanticrolelabelingacollaborationofwordembeddingsandcotraining-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('do-bethard-moens-facingthemostdifficultcaseofsemanticrolelabelingacollaborationofwordembeddingsandcotraining-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{do-bethard-moens:2016:COLING,\n  author    = {Do, Quynh Ngoc Thi  and  Bethard, Steven  and  Moens, Marie-Francine},\n  title     = {Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training},\n  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},\n  month     = {12},\n  year      = {2016},\n  address   = {Osaka, Japan},\n  publisher = {The COLING 2016 Organizing Committee},\n  pages     = {1275--1284},\n  url       = {http://aclweb.org/anthology/C16-1121},\n  note = {[Acceptance rate 32\\%]},\n  keywords = {semantic relations, domain adaptation},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sadeque-pedersen-solorio-shrestha-reyvillamizar-bethard-whydotheyleavemodelingparticipationinonlinedepressionforums-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://aclweb.org/anthology/W16-6203\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sadeque-pedersen-solorio-shrestha-reyvillamizar-bethard-whydotheyleavemodelingparticipationinonlinedepressionforums-2016', 'http://aclweb.org/anthology/W16-6203', event);\">\n    Why Do They Leave: Modeling Participation in Online Depression Forums.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sadeque, F.; Pedersen, T.; Solorio, T.; Shrestha, P.; Rey-Villamizar, N.;  and <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media</i>, pages 14–19, Austin, TX, USA, 11 2016. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://aclweb.org/anthology/W16-6203\"\n     onclick=\"log_download('sadeque-pedersen-solorio-shrestha-reyvillamizar-bethard-whydotheyleavemodelingparticipationinonlinedepressionforums-2016', 'http://aclweb.org/anthology/W16-6203', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Why Do They Leave: Modeling Participation in Online Depression Forums [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sadeque-pedersen-solorio-shrestha-reyvillamizar-bethard-whydotheyleavemodelingparticipationinonlinedepressionforums-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sadeque-pedersen-solorio-shrestha-reyvillamizar-bethard-whydotheyleavemodelingparticipationinonlinedepressionforums-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{sadeque-EtAl:2016:SocialNLP,\n  author    = {Sadeque, Farig  and  Pedersen, Ted  and  Solorio, Thamar  and  Shrestha, Prasha  and  Rey-Villamizar, Nicolas  and  Bethard, Steven},\n  title     = {Why Do They Leave: Modeling Participation in Online Depression Forums},\n  booktitle = {Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media},\n  month     = {11},\n  year      = {2016},\n  address   = {Austin, TX, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {14--19},\n  url       = {http://aclweb.org/anthology/W16-6203},\n  keywords = {health applications, social media, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"reyvillamizar-shrestha-sadeque-bethard-pedersen-mukherjee-solorio-analysisofanxiouswordusageononlinehealthforums-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://aclweb.org/anthology/W16-6105\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'reyvillamizar-shrestha-sadeque-bethard-pedersen-mukherjee-solorio-analysisofanxiouswordusageononlinehealthforums-2016', 'http://aclweb.org/anthology/W16-6105', event);\">\n    Analysis of Anxious Word Usage on Online Health Forums.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rey-Villamizar, N.; Shrestha, P.; Sadeque, F.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>; Pedersen, T.; Mukherjee, A.;  and Solorio, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis</i>, pages 37–42, Auxtin, TX, 11 2016. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://aclweb.org/anthology/W16-6105\"\n     onclick=\"log_download('reyvillamizar-shrestha-sadeque-bethard-pedersen-mukherjee-solorio-analysisofanxiouswordusageononlinehealthforums-2016', 'http://aclweb.org/anthology/W16-6105', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Analysis of Anxious Word Usage on Online Health Forums [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/reyvillamizar-shrestha-sadeque-bethard-pedersen-mukherjee-solorio-analysisofanxiouswordusageononlinehealthforums-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('reyvillamizar-shrestha-sadeque-bethard-pedersen-mukherjee-solorio-analysisofanxiouswordusageononlinehealthforums-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{reyvillamizar-EtAl:2016:LOUHI,\n  author    = {Rey-Villamizar, Nicolas  and  Shrestha, Prasha  and  Sadeque, Farig  and  Bethard, Steven  and  Pedersen, Ted  and  Mukherjee, Arjun  and  Solorio, Thamar},\n  title     = {Analysis of Anxious Word Usage on Online Health Forums},\n  booktitle = {Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis},\n  month     = {11},\n  year      = {2016},\n  address   = {Auxtin, TX},\n  publisher = {Association for Computational Linguistics},\n  pages     = {37--42},\n  url       = {http://aclweb.org/anthology/W16-6105},\n  keywords = {health applications, social media, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"do-bethard-moens-visualizingthecontentofachildrensstoryinavirtualworldlessonslearned-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://aclweb.org/anthology/W16-6009\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'do-bethard-moens-visualizingthecontentofachildrensstoryinavirtualworldlessonslearned-2016', 'http://aclweb.org/anthology/W16-6009', event);\">\n    Visualizing the Content of a Children's Story in a Virtual World: Lessons Learned.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Do, Q. N. T.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S.</a>;  and Moens, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods</i>, pages 39–42, Austin, TX, 11 2016. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://aclweb.org/anthology/W16-6009\"\n     onclick=\"log_download('do-bethard-moens-visualizingthecontentofachildrensstoryinavirtualworldlessonslearned-2016', 'http://aclweb.org/anthology/W16-6009', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Visualizing the Content of a Children&#x27;s Story in a Virtual World: Lessons Learned [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/do-bethard-moens-visualizingthecontentofachildrensstoryinavirtualworldlessonslearned-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('do-bethard-moens-visualizingthecontentofachildrensstoryinavirtualworldlessonslearned-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{do-bethard-moens:2016:UBLP,\n  author    = {Do, Quynh Ngoc Thi  and  Bethard, Steven  and  Moens, Marie-Francine},\n  title     = {Visualizing the Content of a Children&#x27;s Story in a Virtual World: Lessons Learned},\n  booktitle = {Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods},\n  month     = {11},\n  year      = {2016},\n  address   = {Austin, TX},\n  publisher = {Association for Computational Linguistics},\n  pages     = {39--42},\n  url       = {http://aclweb.org/anthology/W16-6009},\n  keywords = {coreference, semantic relations, educational applications, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lin-miller-dligach-bethard-savova-improvingtemporalrelationextractionwithtraininginstanceaugmentation-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://anthology.aclweb.org/W16-2914\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lin-miller-dligach-bethard-savova-improvingtemporalrelationextractionwithtraininginstanceaugmentation-2016', 'http://anthology.aclweb.org/W16-2914', event);\">\n    Improving Temporal Relation Extraction with Training Instance Augmentation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lin, C.; Miller, T.; Dligach, D.; Bethard, S.;  and Savova, G.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 15th Workshop on Biomedical Natural Language Processing</i>, pages 108–113, Berlin, Germany, 8 2016. Association for Computational Linguistics\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://anthology.aclweb.org/W16-2914\"\n     onclick=\"log_download('lin-miller-dligach-bethard-savova-improvingtemporalrelationextractionwithtraininginstanceaugmentation-2016', 'http://anthology.aclweb.org/W16-2914', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Improving Temporal Relation Extraction with Training Instance Augmentation [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lin-miller-dligach-bethard-savova-improvingtemporalrelationextractionwithtraininginstanceaugmentation-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lin-miller-dligach-bethard-savova-improvingtemporalrelationextractionwithtraininginstanceaugmentation-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{lin-EtAl:2016:BioNLP16,\n  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Bethard, Steven  and  Savova, Guergana},\n  title     = {Improving Temporal Relation Extraction with Training Instance Augmentation},\n  booktitle = {Proceedings of the 15th Workshop on Biomedical Natural Language Processing},\n  month     = {8},\n  year      = {2016},\n  address   = {Berlin, Germany},\n  publisher = {Association for Computational Linguistics},\n  pages     = {108--113},\n  url       = {http://anthology.aclweb.org/W16-2914},\n  keywords = {timelines, information extraction, health applications, workshop paper},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sapkota-solorio-montes-bethard-domainadaptationforauthorshipattributionimprovedstructuralcorrespondencelearning-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.aclweb.org/anthology/P16-1210\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sapkota-solorio-montes-bethard-domainadaptationforauthorshipattributionimprovedstructuralcorrespondencelearning-2016', 'http://www.aclweb.org/anthology/P16-1210', event);\">\n    Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sapkota, U.; Solorio, T.; Montes, M.;  and Bethard, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</i>, pages 2226–2235, Berlin, Germany, 8 2016. Association for Computational Linguistics\n  <span class=\"note\">[Acceptance rate 28%]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.aclweb.org/anthology/P16-1210\"\n     onclick=\"log_download('sapkota-solorio-montes-bethard-domainadaptationforauthorshipattributionimprovedstructuralcorrespondencelearning-2016', 'http://www.aclweb.org/anthology/P16-1210', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sapkota-solorio-montes-bethard-domainadaptationforauthorshipattributionimprovedstructuralcorrespondencelearning-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sapkota-solorio-montes-bethard-domainadaptationforauthorshipattributionimprovedstructuralcorrespondencelearning-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{sapkota-EtAl:2016:P16-1,\n  author    = {Sapkota, Upendra  and  Solorio, Thamar  and  Montes, Manuel  and  Bethard, Steven},\n  title     = {Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning},\n  booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},\n  month     = {8},\n  year      = {2016},\n  address   = {Berlin, Germany},\n  publisher = {Association for Computational Linguistics},\n  pages     = {2226--2235},\n  url       = {http://www.aclweb.org/anthology/P16-1210},\n  note = {[Acceptance rate 28\\%]},\n  keywords = {authorship analysis, domain adaptation},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2015\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2015')\"\n      onkeypress=\"toggleGroup('group_2015')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2015</span>\n      <span class=\"bibbase_group_count\">\n        \n        (7)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"valenzuela-ha-etzioni-identifyingmeaningfulcitations-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://ai2-website.s3.amazonaws.com/publications/ValenzuelaHaMeaningfulCitations.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'valenzuela-ha-etzioni-identifyingmeaningfulcitations-2015', 'http://ai2-website.s3.amazonaws.com/publications/ValenzuelaHaMeaningfulCitations.pdf', event);\">\n    Identifying meaningful citations.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Valenzuela, M.; Ha, V.;  and Etzioni, O.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the \"Scholarly Big Data: AI Perspectives, Challenges, and Ideas\" Workshop at the Twenty-Ninth AAAI Conference on Artificial Intelligence</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://ai2-website.s3.amazonaws.com/publications/ValenzuelaHaMeaningfulCitations.pdf\"\n     onclick=\"log_download('valenzuela-ha-etzioni-identifyingmeaningfulcitations-2015', 'http://ai2-website.s3.amazonaws.com/publications/ValenzuelaHaMeaningfulCitations.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Identifying meaningful citations [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/valenzuela-ha-etzioni-identifyingmeaningfulcitations-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('valenzuela-ha-etzioni-identifyingmeaningfulcitations-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{valenzuela2015identifying,\n  title={Identifying meaningful citations},\n  author={Valenzuela, Marco and Ha, Vu and Etzioni, Oren},\n  booktitle={Proceedings of the &quot;Scholarly Big Data: AI Perspectives, Challenges, and Ideas&quot; Workshop at the Twenty-Ninth AAAI Conference on Artificial Intelligence},\n  year={2015},\n  url={http://ai2-website.s3.amazonaws.com/publications/ValenzuelaHaMeaningfulCitations.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"valenzuelaescarcega-hahnpowell-hicks-surdeanu-adomainindependentrulebasedframeworkforeventextraction-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/acl2015.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'valenzuelaescarcega-hahnpowell-hicks-surdeanu-adomainindependentrulebasedframeworkforeventextraction-2015', 'http://clulab.org/papers/acl2015.pdf', event);\">\n    A Domain-independent Rule-based Framework for Event Extraction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Valenzuela-Escarcega, M. A.; Hahn-Powell, G.; Hicks, T.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Assian Federation of Natural Language Processing: Software Demonstrations (ACL-IJCNLP)</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/acl2015.pdf\"\n     onclick=\"log_download('valenzuelaescarcega-hahnpowell-hicks-surdeanu-adomainindependentrulebasedframeworkforeventextraction-2015', 'http://clulab.org/papers/acl2015.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A Domain-independent Rule-based Framework for Event Extraction [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/sistanlp/processors\"\n     onclick=\"log_download('valenzuelaescarcega-hahnpowell-hicks-surdeanu-adomainindependentrulebasedframeworkforeventextraction-2015', 'https://github.com/sistanlp/processors', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Domain-independent Rule-based Framework for Event Extraction [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/valenzuelaescarcega-hahnpowell-hicks-surdeanu-adomainindependentrulebasedframeworkforeventextraction-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('valenzuelaescarcega-hahnpowell-hicks-surdeanu-adomainindependentrulebasedframeworkforeventextraction-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Valenzuela:15,\n  author    = {Valenzuela-Escarcega, Marco A. and Gustave Hahn-Powell and Thomas Hicks and Mihai Surdeanu},\n  title     = {A Domain-independent Rule-based Framework for Event Extraction},\n  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Assian Federation of Natural Language Processing: Software Demonstrations (ACL-IJCNLP)},\n  year      = {2015},\n  url      = {http://clulab.org/papers/acl2015.pdf},\n  url_Code  = {https://github.com/sistanlp/processors},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"surdeanu-hicks-valenzuelaescarcega-twopracticalrhetoricalstructuretheoryparsers-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/naacl2015-discourse.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'surdeanu-hicks-valenzuelaescarcega-twopracticalrhetoricalstructuretheoryparsers-2015', 'http://clulab.org/papers/naacl2015-discourse.pdf', event);\">\n    Two Practical Rhetorical Structure Theory Parsers.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Surdeanu, M.; Hicks, T.;  and Valenzuela-Escarcega, M. A.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT): Software Demonstrations</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/naacl2015-discourse.pdf\"\n     onclick=\"log_download('surdeanu-hicks-valenzuelaescarcega-twopracticalrhetoricalstructuretheoryparsers-2015', 'http://clulab.org/papers/naacl2015-discourse.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Two Practical Rhetorical Structure Theory Parsers [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"https://github.com/sistanlp/processors\"\n     onclick=\"log_download('surdeanu-hicks-valenzuelaescarcega-twopracticalrhetoricalstructuretheoryparsers-2015', 'https://github.com/sistanlp/processors', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Two Practical Rhetorical Structure Theory Parsers [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/surdeanu-hicks-valenzuelaescarcega-twopracticalrhetoricalstructuretheoryparsers-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('surdeanu-hicks-valenzuelaescarcega-twopracticalrhetoricalstructuretheoryparsers-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Surdeanu:15,\n  author    = {Surdeanu, Mihai and Thomas Hicks and Marco A. Valenzuela-Escarcega},\n  title     = {Two Practical Rhetorical Structure Theory Parsers},\n  booktitle = {Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT): Software Demonstrations},\n  year      = {2015},\n  url       = {http://clulab.org/papers/naacl2015-discourse.pdf},\n  url_Code  = {https://github.com/sistanlp/processors},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"intxaurrondo-agirre-delacalle-surdeanu-diamondsintherougheventextractionfromimperfectmicroblogdata-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/naacl2015-ee.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'intxaurrondo-agirre-delacalle-surdeanu-diamondsintherougheventextractionfromimperfectmicroblogdata-2015', 'http://clulab.org/papers/naacl2015-ee.pdf', event);\">\n    Diamonds in the Rough: Event Extraction from Imperfect Microblog Data.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Intxaurrondo, A.; Agirre, E.; de Lacalle, O. L.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT)</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/naacl2015-ee.pdf\"\n     onclick=\"log_download('intxaurrondo-agirre-delacalle-surdeanu-diamondsintherougheventextractionfromimperfectmicroblogdata-2015', 'http://clulab.org/papers/naacl2015-ee.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Diamonds in the Rough: Event Extraction from Imperfect Microblog Data [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://ixa.eus/Ixa/Argitalpenak/Artikuluak/1425465524/publikoak/earthquake-kb-dataset.zip\"\n     onclick=\"log_download('intxaurrondo-agirre-delacalle-surdeanu-diamondsintherougheventextractionfromimperfectmicroblogdata-2015', 'http://ixa.eus/Ixa/Argitalpenak/Artikuluak/1425465524/publikoak/earthquake-kb-dataset.zip', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Diamonds in the Rough: Event Extraction from Imperfect Microblog Data [link]\"\n       title=\" data\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> data</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/intxaurrondo-agirre-delacalle-surdeanu-diamondsintherougheventextractionfromimperfectmicroblogdata-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('intxaurrondo-agirre-delacalle-surdeanu-diamondsintherougheventextractionfromimperfectmicroblogdata-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Intxaurrondo:15,\n  author    = {Intxaurrondo, Ander and Eneko Agirre and Oier Lopez de Lacalle and Mihai Surdeanu},\n  title     = {Diamonds in the Rough: Event Extraction from Imperfect Microblog Data},\n  booktitle = {Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT)},\n  year      = {2015},\n  url       = {http://clulab.org/papers/naacl2015-ee.pdf},\n  url_Data  = {http://ixa.eus/Ixa/Argitalpenak/Artikuluak/1425465524/publikoak/earthquake-kb-dataset.zip},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sharp-jansen-surdeanu-clark-spinningstrawintogoldusingfreetexttotrainmonolingualalignmentmodelsfornonfactoidquestionanswering-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/naacl2015-qa.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sharp-jansen-surdeanu-clark-spinningstrawintogoldusingfreetexttotrainmonolingualalignmentmodelsfornonfactoidquestionanswering-2015', 'http://clulab.org/papers/naacl2015-qa.pdf', event);\">\n    Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sharp, R.; Jansen, P.; Surdeanu, M.;  and Clark, P.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT)</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/naacl2015-qa.pdf\"\n     onclick=\"log_download('sharp-jansen-surdeanu-clark-spinningstrawintogoldusingfreetexttotrainmonolingualalignmentmodelsfornonfactoidquestionanswering-2015', 'http://clulab.org/papers/naacl2015-qa.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://surdeanu.cs.arizona.edu/mihai/papers/straw2gold.zip\"\n     onclick=\"log_download('sharp-jansen-surdeanu-clark-spinningstrawintogoldusingfreetexttotrainmonolingualalignmentmodelsfornonfactoidquestionanswering-2015', 'http://surdeanu.cs.arizona.edu/mihai/papers/straw2gold.zip', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering [link]\"\n       title=\" data and some code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> data and some code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sharp-jansen-surdeanu-clark-spinningstrawintogoldusingfreetexttotrainmonolingualalignmentmodelsfornonfactoidquestionanswering-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sharp-jansen-surdeanu-clark-spinningstrawintogoldusingfreetexttotrainmonolingualalignmentmodelsfornonfactoidquestionanswering-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Sharp:15,\n  author    = {Sharp, Rebecca and Peter Jansen and Mihai Surdeanu and Peter Clark},\n  title     = {Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering},\n  booktitle = {Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT)},\n  year      = {2015},\n  url       = {http://clulab.org/papers/naacl2015-qa.pdf},\n  url_Data_and_Some_Code = {http://surdeanu.cs.arizona.edu/mihai/papers/straw2gold.zip},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"fried-jansen-hahnpowell-surdeanu-clark-higherorderlexicalsemanticmodelsfornonfactoidanswerreranking-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/550\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'fried-jansen-hahnpowell-surdeanu-clark-higherorderlexicalsemanticmodelsfornonfactoidanswerreranking-2015', 'https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/550', event);\">\n    Higher-order Lexical Semantic Models for Non-factoid Answer Reranking.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Fried, D.; Jansen, P.; Hahn-Powell, G.; Surdeanu, M.;  and Clark, P.\n</span>\n\n  \n\n</span>\n\n  <i>Transactions of the Association for Computational Linguistics</i>, 3: 197-210.  2015.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/550\"\n     onclick=\"log_download('fried-jansen-hahnpowell-surdeanu-clark-higherorderlexicalsemanticmodelsfornonfactoidanswerreranking-2015', 'https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/550', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Higher-order Lexical Semantic Models for Non-factoid Answer Reranking [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/fried-jansen-hahnpowell-surdeanu-clark-higherorderlexicalsemanticmodelsfornonfactoidanswerreranking-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('fried-jansen-hahnpowell-surdeanu-clark-higherorderlexicalsemanticmodelsfornonfactoidanswerreranking-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Fried:2015,\n        author = {Daniel Fried and Peter Jansen and Gustave Hahn-Powell and Mihai\nSurdeanu and Peter Clark},\n        title = {Higher-order Lexical Semantic Models for Non-factoid Answer\nReranking},\n        journal = {Transactions of the Association for Computational Linguistics},\n        volume = {3},\n        year = {2015},\n        keywords = {},\n        abstract = {Lexical semantic models provide robust performance for question\nanswering, but, in general, can only capitalize on direct evidence seen\nduring training. For example, monolingual alignment models acquire term\nalignment probabilities from semi-structured data such as question-answer\npairs; neural network language models learn term embeddings from\nunstructured text. All this knowledge is then used to estimate the semantic\nsimilarity between question and answer candidates.  We introduce a\nhigher-order formalism that allows all these lexical semantic models to\nchain direct evidence to construct indirect associations between question\nand answer texts, by casting the task as the traversal of graphs that encode\ndirect term associations.  Using a corpus of 10,000 questions from Yahoo!\nAnswers, we experimentally demonstrate that higher-order methods are broadly\napplicable to alignment and language models, across both word and syntactic\nrepresentations. We show that an important criterion for success is\ncontrolling for the semantic drift that accumulates during graph traversal.\nAll in all, the proposed higher-order approach improves five out of the six\nlexical semantic models investigated, with relative gains of up to +13\\%\nover their first-order variants. },\n        issn = {2307-387X},\n        url =\n{https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/550},\n        pages = {197-210}\n}\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Lexical semantic models provide robust performance for question answering, but, in general, can only capitalize on direct evidence seen during training. For example, monolingual alignment models acquire term alignment probabilities from semi-structured data such as question-answer pairs; neural network language models learn term embeddings from unstructured text. All this knowledge is then used to estimate the semantic similarity between question and answer candidates. We introduce a higher-order formalism that allows all these lexical semantic models to chain direct evidence to construct indirect associations between question and answer texts, by casting the task as the traversal of graphs that encode direct term associations. Using a corpus of 10,000 questions from Yahoo! Answers, we experimentally demonstrate that higher-order methods are broadly applicable to alignment and language models, across both word and syntactic representations. We show that an important criterion for success is controlling for the semantic drift that accumulates during graph traversal. All in all, the proposed higher-order approach improves five out of the six lexical semantic models investigated, with relative gains of up to +13% over their first-order variants. \n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"valenzuelaescarcega-hahnpowell-surdeanu-descriptionoftheodineventextractionframeworkandrulelanguage-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/1509.07513\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'valenzuelaescarcega-hahnpowell-surdeanu-descriptionoftheodineventextractionframeworkandrulelanguage-2015', 'https://arxiv.org/pdf/1509.07513', event);\">\n    Description of the odin event extraction framework and rule language.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Valenzuela-Escarcega, M. A; Hahn-Powell, G.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  <i>arXiv preprint arXiv:1509.07513</i>.  2015.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/1509.07513\"\n     onclick=\"log_download('valenzuelaescarcega-hahnpowell-surdeanu-descriptionoftheodineventextractionframeworkandrulelanguage-2015', 'https://arxiv.org/pdf/1509.07513', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Description of the odin event extraction framework and rule language [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/valenzuelaescarcega-hahnpowell-surdeanu-descriptionoftheodineventextractionframeworkandrulelanguage-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>25 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('valenzuelaescarcega-hahnpowell-surdeanu-descriptionoftheodineventextractionframeworkandrulelanguage-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{valenzuela2015description,\n  title={Description of the odin event extraction framework and rule language},\n  author={Valenzuela-Escarcega, Marco A and Hahn-Powell, Gus and Surdeanu, Mihai},\n  journal={arXiv preprint arXiv:1509.07513},\n  year={2015},\n  url={https://arxiv.org/pdf/1509.07513},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2014\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2014')\"\n      onkeypress=\"toggleGroup('group_2014')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2014</span>\n      <span class=\"bibbase_group_count\">\n        \n        (7)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"jansen-surdeanu-clark-discoursecomplementslexicalsemanticsfornonfactoidanswerreranking-2014\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/acl2014.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jansen-surdeanu-clark-discoursecomplementslexicalsemanticsfornonfactoidanswerreranking-2014', 'http://clulab.org/papers/acl2014.pdf', event);\">\n    Discourse Complements Lexical Semantics for Non-factoid Answer Reranking.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jansen, P.; Surdeanu, M.;  and Clark, P.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)</i>,  2014. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/acl2014.pdf\"\n     onclick=\"log_download('jansen-surdeanu-clark-discoursecomplementslexicalsemanticsfornonfactoidanswerreranking-2014', 'http://clulab.org/papers/acl2014.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Discourse Complements Lexical Semantics for Non-factoid Answer Reranking [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://nlp.sista.arizona.edu/releases/acl2014/\"\n     onclick=\"log_download('jansen-surdeanu-clark-discoursecomplementslexicalsemanticsfornonfactoidanswerreranking-2014', 'http://nlp.sista.arizona.edu/releases/acl2014/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Discourse Complements Lexical Semantics for Non-factoid Answer Reranking [link]\"\n       title=\" code and data\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code and data</span></a>\n  &nbsp;\n  \n  <a href=\"http://nlp.sista.arizona.edu/releases/acl2014/\"\n     onclick=\"log_download('jansen-surdeanu-clark-discoursecomplementslexicalsemanticsfornonfactoidanswerreranking-2014', 'http://nlp.sista.arizona.edu/releases/acl2014/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Discourse Complements Lexical Semantics for Non-factoid Answer Reranking [link]\"\n       title=\" slides\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jansen-surdeanu-clark-discoursecomplementslexicalsemanticsfornonfactoidanswerreranking-2014\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jansen-surdeanu-clark-discoursecomplementslexicalsemanticsfornonfactoidanswerreranking-2014')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Jansen:14,\n\tyear = {2014},\n\tauthor = {Jansen, Peter and Surdeanu, Mihai and Clark, Peter},\n\tbooktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)},\n\ttitle = {Discourse Complements Lexical Semantics for Non-factoid Answer Reranking},\n  url = {http://clulab.org/papers/acl2014.pdf},\n  url_Code_And_Data = {http://nlp.sista.arizona.edu/releases/acl2014/},\n  url_Slides = {http://nlp.sista.arizona.edu/releases/acl2014/},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"manning-surdeanu-bauer-finkel-bethard-mcclosky-thestanfordcorenlpnaturallanguageprocessingtoolkit-2014\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/acl2014-corenlp.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'manning-surdeanu-bauer-finkel-bethard-mcclosky-thestanfordcorenlpnaturallanguageprocessingtoolkit-2014', 'http://clulab.org/papers/acl2014-corenlp.pdf', event);\">\n    The Stanford CoreNLP Natural Language Processing Toolkit.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Manning, C. D.; Surdeanu, M.; Bauer, J.; Finkel, J.; <a class=\"bibbase author link\" href=\"https://bethard.github.io/publications.html\">Bethard, S. J.</a>;  and McClosky, D.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)</i>,  2014. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/acl2014-corenlp.pdf\"\n     onclick=\"log_download('manning-surdeanu-bauer-finkel-bethard-mcclosky-thestanfordcorenlpnaturallanguageprocessingtoolkit-2014', 'http://clulab.org/papers/acl2014-corenlp.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"The Stanford CoreNLP Natural Language Processing Toolkit [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://nlp.stanford.edu/software/corenlp.shtml\"\n     onclick=\"log_download('manning-surdeanu-bauer-finkel-bethard-mcclosky-thestanfordcorenlpnaturallanguageprocessingtoolkit-2014', 'http://nlp.stanford.edu/software/corenlp.shtml', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"The Stanford CoreNLP Natural Language Processing Toolkit [link]\"\n       title=\" code\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> code</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/manning-surdeanu-bauer-finkel-bethard-mcclosky-thestanfordcorenlpnaturallanguageprocessingtoolkit-2014\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('manning-surdeanu-bauer-finkel-bethard-mcclosky-thestanfordcorenlpnaturallanguageprocessingtoolkit-2014')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Manning:14,\n\tyear = {2014},\n\tauthor = {Manning, Christopher D. and Surdeanu, Mihai and Bauer, John and Finkel, Jenny and Bethard, Steven J. and McClosky, David},\n\tbooktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)},\n\ttitle = {The Stanford CoreNLP Natural Language Processing Toolkit},\n  url = {http://clulab.org/papers/acl2014-corenlp.pdf},\n  url_Code = {http://nlp.stanford.edu/software/corenlp.shtml},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"fried-surdeanu-kobourov-hingle-bell-analyzingthelanguageoffoodonsocialmedia-2014\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/bigdata2014.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'fried-surdeanu-kobourov-hingle-bell-analyzingthelanguageoffoodonsocialmedia-2014', 'http://clulab.org/papers/bigdata2014.pdf', event);\">\n    Analyzing the Language of Food on Social Media.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Fried, D.; Surdeanu, M.; Kobourov, S.; Hingle, M.;  and Bell, D.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2014 IEEE International Conference on Big Data</i>,  2014. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/bigdata2014.pdf\"\n     onclick=\"log_download('fried-surdeanu-kobourov-hingle-bell-analyzingthelanguageoffoodonsocialmedia-2014', 'http://clulab.org/papers/bigdata2014.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Analyzing the Language of Food on Social Media [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://arxiv.org/abs/1409.2195\"\n     onclick=\"log_download('fried-surdeanu-kobourov-hingle-bell-analyzingthelanguageoffoodonsocialmedia-2014', 'http://arxiv.org/abs/1409.2195', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Analyzing the Language of Food on Social Media [link]\"\n       title=\" supplmental material\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> supplmental material</span></a>\n  &nbsp;\n  \n  <a href=\"https://sites.google.com/site/twitter4food/\"\n     onclick=\"log_download('fried-surdeanu-kobourov-hingle-bell-analyzingthelanguageoffoodonsocialmedia-2014', 'https://sites.google.com/site/twitter4food/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Analyzing the Language of Food on Social Media [link]\"\n       title=\" demo\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> demo</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/fried-surdeanu-kobourov-hingle-bell-analyzingthelanguageoffoodonsocialmedia-2014\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('fried-surdeanu-kobourov-hingle-bell-analyzingthelanguageoffoodonsocialmedia-2014')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Fried:14,\n\tyear = {2014},\n\tauthor = {Fried, Daniel and Surdeanu, Mihai and Kobourov, Stephen and Hingle, Melanie and Bell, Dane},\n\tbooktitle = {Proceedings of the 2014 IEEE International Conference on Big Data},\n\ttitle = {Analyzing the Language of Food on Social Media},\n  url = {http://clulab.org/papers/bigdata2014.pdf},\n  url_Supplmental_Material = {http://arxiv.org/abs/1409.2195},\n  url_Demo = {https://sites.google.com/site/twitter4food/},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"surdeanu-heng-overviewoftheenglishslotfillingtrackatthetac2014knowledgebasepopulationevaluation-2014\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/kbp2014_draft.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'surdeanu-heng-overviewoftheenglishslotfillingtrackatthetac2014knowledgebasepopulationevaluation-2014', 'http://clulab.org/papers/kbp2014_draft.pdf', event);\">\n    Overview of the English Slot Filling Track at the TAC2014 Knowledge Base Population Evaluation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Surdeanu, M.;  and Heng, J.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the TAC-KBP 2014 Workshop</i>,  2014. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/kbp2014_draft.pdf\"\n     onclick=\"log_download('surdeanu-heng-overviewoftheenglishslotfillingtrackatthetac2014knowledgebasepopulationevaluation-2014', 'http://clulab.org/papers/kbp2014_draft.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Overview of the English Slot Filling Track at the TAC2014 Knowledge Base Population Evaluation [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/surdeanu-heng-overviewoftheenglishslotfillingtrackatthetac2014knowledgebasepopulationevaluation-2014\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('surdeanu-heng-overviewoftheenglishslotfillingtrackatthetac2014knowledgebasepopulationevaluation-2014')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{SurdeanuHeng:14,\n\tyear = {2014},\n\tauthor = {Surdeanu, Mihai and Heng, Ji},\n\tbooktitle = {Proceedings of the TAC-KBP 2014 Workshop},\n\ttitle = {Overview of the English Slot Filling Track at the TAC2014 Knowledge Base Population Evaluation},\n  url = {http://clulab.org/papers/kbp2014_draft.pdf},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"reschke-jankowiak-surdeanu-manning-jurafsky-eventextractionusingdistantsupervision-2014\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/lrec2014_ds.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'reschke-jankowiak-surdeanu-manning-jurafsky-eventextractionusingdistantsupervision-2014', 'http://clulab.org/papers/lrec2014_ds.pdf', event);\">\n    Event Extraction Using Distant Supervision.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Reschke, K.; Jankowiak, M.; Surdeanu, M.; Manning, C. D.;  and Jurafsky, D.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC)</i>,  2014. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/lrec2014_ds.pdf\"\n     onclick=\"log_download('reschke-jankowiak-surdeanu-manning-jurafsky-eventextractionusingdistantsupervision-2014', 'http://clulab.org/papers/lrec2014_ds.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Event Extraction Using Distant Supervision [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://nlp.stanford.edu/projects/dist-sup-event-extraction.shtml\"\n     onclick=\"log_download('reschke-jankowiak-surdeanu-manning-jurafsky-eventextractionusingdistantsupervision-2014', 'http://nlp.stanford.edu/projects/dist-sup-event-extraction.shtml', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Event Extraction Using Distant Supervision [link]\"\n       title=\" data\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> data</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/lrec2014_ds_slides.pdf\"\n     onclick=\"log_download('reschke-jankowiak-surdeanu-manning-jurafsky-eventextractionusingdistantsupervision-2014', 'http://clulab.org/papers/lrec2014_ds_slides.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Event Extraction Using Distant Supervision [pdf]\"\n       title=\" slides\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/reschke-jankowiak-surdeanu-manning-jurafsky-eventextractionusingdistantsupervision-2014\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('reschke-jankowiak-surdeanu-manning-jurafsky-eventextractionusingdistantsupervision-2014')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Reschke:14,\n\tyear = {2014},\n\tauthor = {Reschke, Kevin and Jankowiak, Martin and Surdeanu, Mihai and Manning, Christopher D. and Jurafsky, Dan},\n\tbooktitle = {Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC)},\n\ttitle = {Event Extraction Using Distant Supervision},\n  url = {http://clulab.org/papers/lrec2014_ds.pdf},\n  url_Data = {http://nlp.stanford.edu/projects/dist-sup-event-extraction.shtml},\n  url_Slides = {http://clulab.org/papers/lrec2014_ds_slides.pdf}\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lee-maccartney-surdeanu-jurafsky-ontheimportanceoftextanalysisforstockpriceprediction-2014\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/lrec2014_stocks.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lee-maccartney-surdeanu-jurafsky-ontheimportanceoftextanalysisforstockpriceprediction-2014', 'http://clulab.org/papers/lrec2014_stocks.pdf', event);\">\n    On the Importance of Text Analysis for Stock Price Prediction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lee, H.; MacCartney, B.; Surdeanu, M.;  and Jurafsky, D.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC)</i>,  2014. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/lrec2014_stocks.pdf\"\n     onclick=\"log_download('lee-maccartney-surdeanu-jurafsky-ontheimportanceoftextanalysisforstockpriceprediction-2014', 'http://clulab.org/papers/lrec2014_stocks.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"On the Importance of Text Analysis for Stock Price Prediction [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://nlp.stanford.edu/pubs/stock-event.html\"\n     onclick=\"log_download('lee-maccartney-surdeanu-jurafsky-ontheimportanceoftextanalysisforstockpriceprediction-2014', 'http://nlp.stanford.edu/pubs/stock-event.html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"On the Importance of Text Analysis for Stock Price Prediction [link]\"\n       title=\" data\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> data</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/lrec2014_stocks_slides.pdf\"\n     onclick=\"log_download('lee-maccartney-surdeanu-jurafsky-ontheimportanceoftextanalysisforstockpriceprediction-2014', 'http://clulab.org/papers/lrec2014_stocks_slides.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"On the Importance of Text Analysis for Stock Price Prediction [pdf]\"\n       title=\" slides\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lee-maccartney-surdeanu-jurafsky-ontheimportanceoftextanalysisforstockpriceprediction-2014\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lee-maccartney-surdeanu-jurafsky-ontheimportanceoftextanalysisforstockpriceprediction-2014')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Lee:14,\n\tyear = {2014},\n\tauthor = {Lee, Heeyoung and MacCartney, Bill and Surdeanu, Mihai and Jurafsky, Dan},\n\tbooktitle = {Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC)},\n\ttitle = {On the Importance of Text Analysis for Stock Price Prediction},\n  url = {http://clulab.org/papers/lrec2014_stocks.pdf},\n  url_Data = {http://nlp.stanford.edu/pubs/stock-event.html},\n  url_Slides = {http://clulab.org/papers/lrec2014_stocks_slides.pdf},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"tran-surdeanu-cohen-extractinglatentattributesfromvideoscenesusingtextasbackgroundknowledge-2014\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/starsem2014.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'tran-surdeanu-cohen-extractinglatentattributesfromvideoscenesusingtextasbackgroundknowledge-2014', 'http://clulab.org/papers/starsem2014.pdf', event);\">\n    Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Tran, A.; Surdeanu, M.;  and Cohen, P.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM)</i>,  2014. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/starsem2014.pdf\"\n     onclick=\"log_download('tran-surdeanu-cohen-extractinglatentattributesfromvideoscenesusingtextasbackgroundknowledge-2014', 'http://clulab.org/papers/starsem2014.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/starsem2014_slides.pdf\"\n     onclick=\"log_download('tran-surdeanu-cohen-extractinglatentattributesfromvideoscenesusingtextasbackgroundknowledge-2014', 'http://clulab.org/papers/starsem2014_slides.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge [pdf]\"\n       title=\" slides\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/tran-surdeanu-cohen-extractinglatentattributesfromvideoscenesusingtextasbackgroundknowledge-2014\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('tran-surdeanu-cohen-extractinglatentattributesfromvideoscenesusingtextasbackgroundknowledge-2014')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Tran:14,\n\tyear = {2014},\n\tauthor = {Tran, Anh and Surdeanu, Mihai and Cohen, Paul},\n\tbooktitle = {Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM)},\n\ttitle = {Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge},\n  url = {http://clulab.org/papers/starsem2014.pdf},\n  url_Slides = {http://clulab.org/papers/starsem2014_slides.pdf},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2013\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2013')\"\n      onkeypress=\"toggleGroup('group_2013')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2013</span>\n      <span class=\"bibbase_group_count\">\n        \n        (7)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"zapirain-agirre-marquez-surdeanu-selectionalpreferencesforsemanticroleclassification-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00145\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zapirain-agirre-marquez-surdeanu-selectionalpreferencesforsemanticroleclassification-2013', 'http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00145', event);\">\n    Selectional Preferences for Semantic Role Classification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zapirain, B.; Agirre, E.; Marquez, L.;  and Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  <i>Computational Linguistics</i>, 39(3).  2013.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00145\"\n     onclick=\"log_download('zapirain-agirre-marquez-surdeanu-selectionalpreferencesforsemanticroleclassification-2013', 'http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00145', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Selectional Preferences for Semantic Role Classification [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zapirain-agirre-marquez-surdeanu-selectionalpreferencesforsemanticroleclassification-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zapirain-agirre-marquez-surdeanu-selectionalpreferencesforsemanticroleclassification-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{Zapirain:13,\n  author    = {Benat Zapirain and Eneko Agirre and Lluis Marquez and Mihai Surdeanu},\n  title     = {Selectional Preferences for Semantic Role Classification},\n  journal = {Computational Linguistics},\n  volume = {39},\n  number = {3},\n  year      = {2013},\n  url = {http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00145},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lee-chang-peirsman-chambers-surdeanu-jurafsky-deterministiccoreferenceresolutionbasedonentitycentricprecisionrankedrules-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00152\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lee-chang-peirsman-chambers-surdeanu-jurafsky-deterministiccoreferenceresolutionbasedonentitycentricprecisionrankedrules-2013', 'http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00152', event);\">\n    Deterministic coreference resolution based on entity-centric, precision-ranked rules.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lee, H.; Chang, A.; Peirsman, Y.; Chambers, N.; Surdeanu, M.;  and Jurafsky, D.\n</span>\n\n  \n\n</span>\n\n  <i>Computational Linguistics</i>, 39(4).  2013.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00152\"\n     onclick=\"log_download('lee-chang-peirsman-chambers-surdeanu-jurafsky-deterministiccoreferenceresolutionbasedonentitycentricprecisionrankedrules-2013', 'http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00152', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deterministic coreference resolution based on entity-centric, precision-ranked rules [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lee-chang-peirsman-chambers-surdeanu-jurafsky-deterministiccoreferenceresolutionbasedonentitycentricprecisionrankedrules-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lee-chang-peirsman-chambers-surdeanu-jurafsky-deterministiccoreferenceresolutionbasedonentitycentricprecisionrankedrules-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{Lee:13,\n  author    = {Heeyoung Lee and Angel Chang and Yves Peirsman and Nathanael Chambers and Mihai Surdeanu and Dan Jurafsky},\n  title     = {Deterministic coreference resolution based on entity-centric, precision-ranked rules},\n  journal = {Computational Linguistics},\n  volume = {39},\n  number = {4},\n  year      = {2013},\n  url = {http://www.mitpressjournals.org/doi/abs/10.1162/COLI_a_00152},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"surdeanu-jeruss-identifyingpatentmonetizationentities-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/icail2013.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'surdeanu-jeruss-identifyingpatentmonetizationentities-2013', 'http://clulab.org/papers/icail2013.pdf', event);\">\n    Identifying Patent Monetization Entities.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Surdeanu, M.;  and Jeruss, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the XIV International Conference on Artificial Intelligence and Law (ICAIL)</i>,  2013. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/icail2013.pdf\"\n     onclick=\"log_download('surdeanu-jeruss-identifyingpatentmonetizationentities-2013', 'http://clulab.org/papers/icail2013.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Identifying Patent Monetization Entities [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/surdeanu-jeruss-identifyingpatentmonetizationentities-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('surdeanu-jeruss-identifyingpatentmonetizationentities-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{surdeanu2013-icail,\n\tyear = {2013},\n\tauthor = {Mihai Surdeanu and Sara Jeruss},\n\tbooktitle = {Proceedings of the XIV International Conference on Artificial Intelligence and Law (ICAIL)},\n\ttitle = {Identifying Patent Monetization Entities},\n  url = {http://clulab.org/papers/icail2013.pdf},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"surdeanu-overviewofthetac2013knowledgebasepopulationevaluationenglishslotfillingandtemporalslotfilling-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/kbp2013.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'surdeanu-overviewofthetac2013knowledgebasepopulationevaluationenglishslotfillingandtemporalslotfilling-2013', 'http://clulab.org/papers/kbp2013.pdf', event);\">\n    Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Surdeanu, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the TAC-KBP 2013 Workshop</i>,  2013. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/kbp2013.pdf\"\n     onclick=\"log_download('surdeanu-overviewofthetac2013knowledgebasepopulationevaluationenglishslotfillingandtemporalslotfilling-2013', 'http://clulab.org/papers/kbp2013.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/kbp2013_sf.pdf\"\n     onclick=\"log_download('surdeanu-overviewofthetac2013knowledgebasepopulationevaluationenglishslotfillingandtemporalslotfilling-2013', 'http://clulab.org/papers/kbp2013_sf.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling [pdf]\"\n       title=\" slides sf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides sf</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/kbp2013_tsf.pdf\"\n     onclick=\"log_download('surdeanu-overviewofthetac2013knowledgebasepopulationevaluationenglishslotfillingandtemporalslotfilling-2013', 'http://clulab.org/papers/kbp2013_tsf.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling [pdf]\"\n       title=\" slides tsf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides tsf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/surdeanu-overviewofthetac2013knowledgebasepopulationevaluationenglishslotfillingandtemporalslotfilling-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('surdeanu-overviewofthetac2013knowledgebasepopulationevaluationenglishslotfillingandtemporalslotfilling-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Surdeanu:13,\n\tyear = {2013},\n\tauthor = {Surdeanu, Mihai},\n\tbooktitle = {Proceedings of the TAC-KBP 2013 Workshop},\n\ttitle = {Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling},\n  url = {http://clulab.org/papers/kbp2013.pdf},\n  url_Slides_SF = {http://clulab.org/papers/kbp2013_sf.pdf},\n  url_Slides_TSF = {http://clulab.org/papers/kbp2013_tsf.pdf},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"intxaurrondo-surdeanu-delacalle-agirre-removingnoisymentionsfordistantsupervision-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/sepln13.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'intxaurrondo-surdeanu-delacalle-agirre-removingnoisymentionsfordistantsupervision-2013', 'http://clulab.org/papers/sepln13.pdf', event);\">\n    Removing Noisy Mentions for Distant Supervision.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Intxaurrondo, A.; Surdeanu, M.; de Lacalle, O. L.;  and Agirre, E.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 29th \"Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural\" (SEPLN 2013)</i>,  2013. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/sepln13.pdf\"\n     onclick=\"log_download('intxaurrondo-surdeanu-delacalle-agirre-removingnoisymentionsfordistantsupervision-2013', 'http://clulab.org/papers/sepln13.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Removing Noisy Mentions for Distant Supervision [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/intxaurrondo-surdeanu-delacalle-agirre-removingnoisymentionsfordistantsupervision-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('intxaurrondo-surdeanu-delacalle-agirre-removingnoisymentionsfordistantsupervision-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{intxaurrondo13,\n\tyear = {2013},\n\tauthor = {Ander Intxaurrondo and Mihai Surdeanu and Oier Lopez de Lacalle and Eneko Agirre},\n\tbooktitle = {Proceedings of the 29th &quot;Congreso de la Sociedad Espa{\\~{n}}ola para el Procesamiento del Lenguaje Natural&quot; (SEPLN 2013)},\n\ttitle = {Removing Noisy Mentions for Distant Supervision},\n  url = {http://clulab.org/papers/sepln13.pdf},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"forbes-surdeanu-jansen-carrington-transmittingnarrativeaninteractiveshiftsummarizationtoolforimprovingnursecommunication-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/textvis2013.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'forbes-surdeanu-jansen-carrington-transmittingnarrativeaninteractiveshiftsummarizationtoolforimprovingnursecommunication-2013', 'http://clulab.org/papers/textvis2013.pdf', event);\">\n    Transmitting Narrative: An Interactive Shift-Summarization Tool for Improving Nurse Communication.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Forbes, A.; Surdeanu, M.; Jansen, P.;  and Carrington, J.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 3rd IEEE Workshop on Interactive Visual Text Analytics</i>,  2013. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/textvis2013.pdf\"\n     onclick=\"log_download('forbes-surdeanu-jansen-carrington-transmittingnarrativeaninteractiveshiftsummarizationtoolforimprovingnursecommunication-2013', 'http://clulab.org/papers/textvis2013.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Transmitting Narrative: An Interactive Shift-Summarization Tool for Improving Nurse Communication [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/forbes-surdeanu-jansen-carrington-transmittingnarrativeaninteractiveshiftsummarizationtoolforimprovingnursecommunication-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('forbes-surdeanu-jansen-carrington-transmittingnarrativeaninteractiveshiftsummarizationtoolforimprovingnursecommunication-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{Forbes:13,\n\tyear = {2013},\n\tauthor = {Angus Forbes and Mihai Surdeanu and Peter Jansen and Jane Carrington},\n\tbooktitle = {Proceedings of the 3rd IEEE Workshop on Interactive Visual Text Analytics},\n\ttitle = {Transmitting Narrative: An Interactive Shift-Summarization Tool for Improving Nurse Communication},\n  url = {http://clulab.org/papers/textvis2013.pdf},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"colinrdawson-barnard-bayesianmodelingofscenesandcaptions-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://surdeanu.info/mihai/papers/wvl2013_slides.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'colinrdawson-barnard-bayesianmodelingofscenesandcaptions-2013', 'http://surdeanu.info/mihai/papers/wvl2013_slides.pdf', event);\">\n    Bayesian modeling of scenes and captions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Colin R. Dawson, L. D. P.;  and Barnard, K.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2013), Workshop on Vision and Language (WVL)</i>,  2013. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://surdeanu.info/mihai/papers/wvl2013_slides.pdf\"\n     onclick=\"log_download('colinrdawson-barnard-bayesianmodelingofscenesandcaptions-2013', 'http://surdeanu.info/mihai/papers/wvl2013_slides.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Bayesian modeling of scenes and captions [pdf]\"\n       title=\" slides\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> slides</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/colinrdawson-barnard-bayesianmodelingofscenesandcaptions-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('colinrdawson-barnard-bayesianmodelingofscenesandcaptions-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Colin:NAACLHLT2013,\ntitle={Bayesian modeling of scenes and captions},\nauthor={Colin R. Dawson, Luca Del Pero, Clayton T. Morrison, Mihai Surdeanu, Gustave Hahn-Powell, Zachary Chapman and Kobus Barnard},\nyear={2013},\nbooktitle={Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2013), Workshop on Vision and Language (WVL)},\nurl_Slides={http://surdeanu.info/mihai/papers/wvl2013_slides.pdf},\n}\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"anonymous-extractingcropmodelparametersfromliteratureusingnaturallanguageprocessing\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://clulab.org/papers/ai-in-agro-poster.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'anonymous-extractingcropmodelparametersfromliteratureusingnaturallanguageprocessing', 'http://clulab.org/papers/ai-in-agro-poster.pdf', event);\">\n    Extracting Crop Model Parameters from Literature Using Natural Language Processing.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  \n</span>\n\n  \n\n</span>\n\n  Presented at AI in Agriculture: Innovation and Discovery to Equitably Meet Producer Needs and Perceptions Conference, Orlando, Florida,  .\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://clulab.org/papers/ai-in-agro-poster.pdf\"\n     onclick=\"log_download('anonymous-extractingcropmodelparametersfromliteratureusingnaturallanguageprocessing', 'http://clulab.org/papers/ai-in-agro-poster.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Extracting Crop Model Parameters from Literature Using Natural Language Processing [pdf]\"\n       title=\" poster\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> poster</span></a>\n  &nbsp;\n  \n  <a href=\"http://clulab.org/papers/ai-in-agriculture2023-submitted-abstract.pdf\"\n     onclick=\"log_download('anonymous-extractingcropmodelparametersfromliteratureusingnaturallanguageprocessing', 'http://clulab.org/papers/ai-in-agriculture2023-submitted-abstract.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Extracting Crop Model Parameters from Literature Using Natural Language Processing [pdf]\"\n       title=\" abstract\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> abstract</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/anonymous-extractingcropmodelparametersfromliteratureusingnaturallanguageprocessing\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('anonymous-extractingcropmodelparametersfromliteratureusingnaturallanguageprocessing')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\"></pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);