generated by bibbase.org
  2024 (1)
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias. Spinde, T.; Hinterreiter, S.; Haak, F.; Ruas, T.; Giese, H.; Meuschke, N.; and Gipp, B. January 2024. arXiv:2312.16148 [cs]
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias [link]Paper   link   bibtex   abstract  
  2023 (7)
We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields. Wahle, J.; Ruas, T.; Abdalla, M.; Gipp, B.; and Mohammad, S. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12896–12913, Singapore, 2023. Association for Computational Linguistics
We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields [link]Paper   doi   link   bibtex  
Paraphrase Types for Generation and Detection. Wahle, J.; Gipp, B.; and Ruas, T. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12148–12164, Singapore, 2023. Association for Computational Linguistics
Paraphrase Types for Generation and Detection [link]Paper   doi   link   bibtex   1 download  
AI Usage Cards: Responsibly Reporting AI-Generated Content. Wahle, J. P.; Ruas, T.; Mohammad, S. M.; Meuschke, N.; and Gipp, B. In 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pages 282–284, Santa Fe, NM, USA, June 2023. IEEE http://arxiv.org/abs/2303.03886
AI Usage Cards: Responsibly Reporting AI-Generated Content [link]Paper   doi   link   bibtex   1 download  
What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS). Zhukova, A.; Ruas, T.; Hamborg, F.; Donnay, K.; and Gipp, B. In 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pages 258–259, Santa Fe, NM, USA, June 2023. IEEE
What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS) [link]Paper   doi   link   bibtex   1 download  
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research. Abdalla, M.; Wahle, J. P.; Lima Ruas, T.; Névéol, A.; Ducel, F.; Mohammad, S.; and Fort, K. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 13141–13160, Toronto, Canada, 2023. Association for Computational Linguistics
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research [link]Paper   doi   link   bibtex  
Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection. Wessel, M.; Horych, T.; Ruas, T.; Aizawa, A.; Gipp, B.; and Spinde, T. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 2765–2774, Taipei Taiwan, July 2023. ACM
Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection [link]Paper   doi   link   bibtex  
Paraphrase Detection: Human vs. Machine Content. Becker, J.; Wahle, J. P.; Ruas, T.; and Gipp, B. March 2023. arXiv:2303.13989 [cs]
Paraphrase Detection: Human vs. Machine Content [link]Paper   link   bibtex   abstract  
  2022 (9)
Analyzing Multi-Task Learning for Abstractive Text Summarization. Kirstein, F. T.; Wahle, J. P.; Ruas, T.; and Gipp, B. In Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM), pages 54–77, Abu Dhabi, United Arab Emirates (Hybrid), 2022. Association for Computational Linguistics
Analyzing Multi-Task Learning for Abstractive Text Summarization [link]Paper   doi   link   bibtex  
How Large Language Models are Transforming Machine-Paraphrase Plagiarism. Wahle, J. P.; Ruas, T.; Kirstein, F.; and Gipp, B. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 952–963, Abu Dhabi, United Arab Emirates, 2022. Association for Computational Linguistics
How Large Language Models are Transforming Machine-Paraphrase Plagiarism [link]Paper   doi   link   bibtex  
A Domain-Adaptive Pre-Training Approach for Language Bias Detection in News. Krieger, J.; Spinde, T.; Ruas, T.; Kulshrestha, J.; and Gipp, B. In Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, of JCDL '22, New York, NY, USA, June 2022. Association for Computing Machinery Number of pages: 7 Place: Cologne, Germany tex.articleno: 3
A Domain-Adaptive Pre-Training Approach for Language Bias Detection in News [link]Paper   doi   link   bibtex   abstract  
Identifying Machine-Paraphrased Plagiarism. Wahle, J. P.; Ruas, T.; Foltýnek, T.; Meuschke, N.; and Gipp, B. In Smits, M., editor(s), Information for a Better World: Shaping the Global Future, pages 393–413, Cham, 2022. Springer International Publishing
Identifying Machine-Paraphrased Plagiarism [pdf]Paper   doi   link   bibtex   abstract   15 downloads  
Specialized Document Embeddings for Aspect-Based Similarity of Research Papers. Ostendorff, M.; Blume, T.; Ruas, T.; Gipp, B.; and Rehm, G. In Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, of JCDL '22, New York, NY, USA, 2022. Association for Computing Machinery Number of pages: 12 Place: Cologne, Germany tex.articleno: 7
Specialized Document Embeddings for Aspect-Based Similarity of Research Papers [link]Paper   doi   link   bibtex   abstract   1 download  
Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles. Spinde, T.; Krieger, J.; Ruas, T.; Mitrović, J.; Götz-Hahn, F.; Aizawa, A.; and Gipp, B. In Smits, M., editor(s), Information for a Better World: Shaping the Global Future, volume 13192, pages 225–235, Cham, 2022. Springer International Publishing
Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles [link]Paper   doi   link   bibtex  
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection. Wahle, J. P.; Ashok, N.; Ruas, T.; Meuschke, N.; Ghosal, T.; and Gipp, B. In Smits, M., editor(s), Information for a Better World: Shaping the Global Future, volume 13192, pages 381–392. Springer International Publishing, Cham, 2022. Series Title: Lecture Notes in Computer Science
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection [link]Paper   doi   link   bibtex   abstract   3 downloads  
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research. Wahle, J. P.; Ruas, T.; Mohammad, S.; and Gipp, B. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2642–2651, Marseille, France, June 2022. European Language Resources Association
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research [link]Paper   link   bibtex   abstract  
CS-Insights: A System for Analyzing Computer Science Research. Ruas, T.; Wahle, J. P.; Küll, L.; Mohammad, S. M.; and Gipp, B. October 2022. arXiv:2210.06878 [cs]
CS-Insights: A System for Analyzing Computer Science Research [link]Paper   link   bibtex   abstract  
  2021 (4)
Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection. Wahle, J. P.; Ruas, T.; Meuschke, N.; and Gipp, B. In 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pages 226–229, September 2021. arXiv:2103.12450 [cs]
Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection [link]Paper   doi   link   bibtex   abstract   2 downloads  
Evaluating document representations for content-based legal literature recommendations. Ostendorff, M.; Ash, E.; Ruas, T.; Gipp, B.; Moreno-Schneider, J.; and Rehm, G. In Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law, pages 109–118, São Paulo Brazil, June 2021. ACM
Evaluating document representations for content-based legal literature recommendations [link]Paper   doi   link   bibtex  
Detecting Cross-Language Plagiarism using Open Knowledge Graphs. Stegmüller, J.; Bauer-Marquart, F.; Meuschke, N.; Lima Ruas, T.; Schubotz, M.; and Gipp, B. In 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2021) at JCDL2021, pages 10, September 2021. https://arxiv.org/abs/2111.09749
Detecting Cross-Language Plagiarism using Open Knowledge Graphs [pdf]Paper   doi   link   bibtex  
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts. Spinde, T.; Plank, M.; Krieger, J.; Ruas, T.; Gipp, B.; and Aizawa, A. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 1166–1177, Punta Cana, Dominican Republic, 2021. Association for Computational Linguistics
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts [link]Paper   doi   link   bibtex  
  2020 (5)
Detecting Machine-Obfuscated Plagiarism. Foltýnek, T.; Ruas, T.; Scharpf, P.; Meuschke, N.; Schubotz, M.; Grosky, W.; and Gipp, B. In Sundqvist, A.; Berget, G.; Nolin, J.; and Skjerdingstad, K. I., editor(s), Sustainable Digital Communities, volume 12051, pages 816–827. Springer International Publishing, Cham, 2020. Series Title: Lecture Notes in Computer Science
Detecting Machine-Obfuscated Plagiarism [link]Paper   doi   link   bibtex   4 downloads  
Aspect-based Document Similarity for Research Papers. Ostendorff, M.; Ruas, T.; Blume, T.; Gipp, B.; and Rehm, G. In Proceedings of the 28th International Conference on Computational Linguistics, pages 6194–6206, Barcelona, Spain (Online), 2020. International Committee on Computational Linguistics
Aspect-based Document Similarity for Research Papers [link]Paper   doi   link   bibtex  
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles. Ostendorff, M.; Ruas, T.; Schubotz, M.; Rehm, G.; and Gipp, B. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, pages 127–136, Virtual Event China, August 2020. ACM
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles [link]Paper   doi   link   bibtex  
Math-word embedding in math search and semantic extraction. Greiner-Petter, A.; Youssef, A.; Ruas, T.; Miller, B. R.; Schubotz, M.; Aizawa, A.; and Gipp, B. Scientometrics, 125(3): 3017–3046. December 2020.
Math-word embedding in math search and semantic extraction [link]Paper   doi   link   bibtex   abstract  
Enhanced word embeddings using multi-semantic representation through lexical chains. Ruas, T.; Ferreira, C. P. H.; Gorsky, W.; França, F. O.; and Medeiros, D. M. R. Information Sciences, 532: 16 –32. 2020. https://www.sciencedirect.com/science/article/pii/S0020025520303911
Enhanced word embeddings using multi-semantic representation through lexical chains [pdf]Paper   doi   link   bibtex  
  2019 (3)
Why Machines Cannot Learn Mathematics, Yet. Greiner-Petter, A.; Ruas, T.; Schubotz, M.; Aizawa, A.; Grosky, W.; and Gipp, B. In arXiv:1905.08359 [cs], May 2019.
Why Machines Cannot Learn Mathematics, Yet [pdf]Paper   link   bibtex   abstract   2 downloads  
Data Science for Software Engineers. Grosky, W.; and Ruas, T. In Pressman, R.; and Maxim, B., editor(s), Software engineering: A practitioner's approach 9th edition, pages 629–638. MCGraw Hill, The address of the publisher, 9 edition, September 2019.
Data Science for Software Engineers [link]Paper   link   bibtex  
Multi-sense embeddings through a word sense disambiguation process. Ruas, T.; Gorsky, W.; and Aizawa, A. Expert Systems with Applications, 136: 288 – 303. 2019. http://www.sciencedirect.com/science/article/pii/S0957417419304269
Multi-sense embeddings through a word sense disambiguation process [pdf]Paper   doi   link   bibtex   1 download  
  2018 (1)
Semantic Feature Structure Extraction From Documents Based on Extended Lexical Chains. Ruas, T.; and Grosky, W. In Proceedings of the 9th Global Wordnet Conference, pages 87–96, Nanyang Technological University (NTU), Singapore, January 2018. Global Wordnet Association
Semantic Feature Structure Extraction From Documents Based on Extended Lexical Chains [link]Paper   link   bibtex   abstract  
  2017 (2)
Science, technology and innovation exploration in biophotonics through a scientometric approach. Ruas, T. L.; Pereira, L.; and Grosky, W. I. In 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), pages 36–43, Chennai, India, August 2017. IEEE
Science, technology and innovation exploration in biophotonics through a scientometric approach [link]Paper   doi   link   bibtex  
Text similarity using multilevel fixed lexical chains. Ruas, T.; and Grosky, W. In Brazilian graduate student conference (BRASCON), Los Angeles, USA, 2017. ISSN: 2472-3894 Place: University of Southern California
link   bibtex  
  2014 (1)
Como construir indicadores de Ciência, Tecnologia e Inovação usando Web of Science, Derwent World Patent Index, Bibexcel e Pajek?. Ruas, T. L.; and Pereira, L. Perspectivas em Ciência da Informação, 19(3): 52–81. September 2014.
Como construir indicadores de Ciência, Tecnologia e Inovação usando Web of Science, Derwent World Patent Index, Bibexcel e Pajek? [link]Paper   doi   link   bibtex   abstract  
  2013 (1)
Simulating the Diffusion of Innovation Process a Multi Agent Approach. Noronha, E.; Lima Ruas, T.; Marietto, M. d. G. B.; Steinberger-Elias, M.; Botelho, W. T.; França, R. d. S.; and Soares, C. ,424158 Bytes. 2013. Artwork Size: 424158 Bytes Publisher: figshare
Simulating the Diffusion of Innovation Process a Multi Agent Approach [link]Paper   doi   link   bibtex   abstract  
  2009 (3)
Multi-agent Systems in Modeling and Simulation of Fire Spread. Ruas, T.; Batista, A. F. d. M.; and Marietto, M. d. G. B. ,1705357 Bytes. 2009. Artwork Size: 1705357 Bytes Publisher: figshare
Multi-agent Systems in Modeling and Simulation of Fire Spread [link]Paper   doi   link   bibtex   abstract  
Simulação Multiagentes na Propagação de Incêndios: Uma Abordagem via Simuladores do Ambiente RoboCup Rescue. Ruas, T.; and Marietto, M. d. G. B. 2009. Pages: 477046 Bytes Publisher: figshare
Simulação Multiagentes na Propagação de Incêndios: Uma Abordagem via Simuladores do Ambiente RoboCup Rescue [link]Paper   doi   link   bibtex   abstract  
A Model for fire spreading by multi-agent systems: A RoboCup Rescue simulation and Swarm platform approach. Ruas, T. L.; Marietto, M. D. G. B.; Franca, R. D. S.; and Batista, A. F. D. M. In 2009 Second International Conference on the Applications of Digital Information and Web Technologies, pages 380–385, London, United Kingdom, August 2009. IEEE
A Model for fire spreading by multi-agent systems: A RoboCup Rescue simulation and Swarm platform approach [link]Paper   doi   link   bibtex