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\n  \n 2025\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges.\n \n \n \n \n\n\n \n Pereira, J.; Assumpcao, A.; Trecenti, J.; Airosa, L.; Lente, C.; Cléto, J.; Dobins, G.; Nogueira, R.; Mitchell, L.; and Lotufo, R.\n\n\n \n\n\n\n Digit. Gov.: Res. Pract., 6(1). February 2025.\n \n\n\n\n
\n\n\n\n \n \n \"INACIA:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{10.1145/3652951,\nauthor = {Pereira, Jayr and Assumpcao, Andre and Trecenti, Julio and Airosa, Luiz and Lente, Caio and Cl\\'{e}to, Jhonatan and Dobins, Guilherme and Nogueira, Rodrigo and Mitchell, Luis and Lotufo, Roberto},\ntitle = {INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges},\nyear = {2025},\nissue_date = {March 2025},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nvolume = {6},\nnumber = {1},\nurl = {https://doi.org/10.1145/3652951},\ndoi = {10.1145/3652951},\nabstract = {This article introduces Instru\\c{c}\\~{a}o Assistida com Intelig\\^{e}ncia Artificial (INACIA), a groundbreaking system designed to integrate Large Language Models (LLMs) into the operational framework of Brazilian Federal Court of Accounts. The system automates various stages of case analysis, including basic information extraction, admissibility examination, Periculum in mora and Fumus boni iuris analyses, and recommendations generation. Through a series of experiments, we demonstrate INACIA’s potential in extracting relevant information from case documents, evaluating its legal plausibility, and formulating propositions for judicial decision-making. Utilizing a validation dataset alongside LLMs, our evaluation methodology, to the best of our knowledge, presents a novel approach to assessing system performance, correlating highly with human judgment. These results underscore INACIA’s potential in complex legal task handling while also acknowledging the current limitations. This study discusses possible improvements and the broader implications of applying Artificial Intelligence (AI) in legal contexts, suggesting that INACIA represents a significant step toward integrating AI in legal systems globally, albeit with cautious optimism grounded in the empirical findings.},\njournal = {Digit. Gov.: Res. Pract.},\nmonth = feb,\narticleno = {6},\nnumpages = {20},\nkeywords = {Brazilian Federal Court of Accounts (TCU), Large Language Models (LLMs), Artificial Intelligence-Assisted Legal Instruction, AI in Legal Systems}\n}\n
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\n This article introduces Instrução Assistida com Inteligência Artificial (INACIA), a groundbreaking system designed to integrate Large Language Models (LLMs) into the operational framework of Brazilian Federal Court of Accounts. The system automates various stages of case analysis, including basic information extraction, admissibility examination, Periculum in mora and Fumus boni iuris analyses, and recommendations generation. Through a series of experiments, we demonstrate INACIA’s potential in extracting relevant information from case documents, evaluating its legal plausibility, and formulating propositions for judicial decision-making. Utilizing a validation dataset alongside LLMs, our evaluation methodology, to the best of our knowledge, presents a novel approach to assessing system performance, correlating highly with human judgment. These results underscore INACIA’s potential in complex legal task handling while also acknowledging the current limitations. This study discusses possible improvements and the broader implications of applying Artificial Intelligence (AI) in legal contexts, suggesting that INACIA represents a significant step toward integrating AI in legal systems globally, albeit with cautious optimism grounded in the empirical findings.\n
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\n \n\n \n \n \n \n \n SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section.\n \n \n \n\n\n \n Fernandes, L. C.; Guedes, G. B.; Laitz, T. S.; Almeida, T. S.; Nogueira, R.; Lotufo, R.; and Pereira, J.\n\n\n \n\n\n\n In Paes, A.; and Verri, F. A. N., editor(s), Intelligent Systems, pages 431–444, Cham, 2025. Springer Nature Switzerland\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{10.1007/978-3-031-79032-4_30,\nauthor="Fernandes, Leandro Car{\\'i}sio\nand Guedes, Gustavo Bartz\nand Laitz, Thiago Soares\nand Almeida, Thales Sales\nand Nogueira, Rodrigo\nand Lotufo, Roberto\nand Pereira, Jayr",\neditor="Paes, Aline\nand Verri, Filipe A. N.",\ntitle="SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section",\nbooktitle="Intelligent Systems",\nyear="2025",\npublisher="Springer Nature Switzerland",\naddress="Cham",\npages="431--444",\nabstract="Document summarization is a task to shorten texts into concise and informative summaries. This paper introduces a novel dataset designed for summarizing multiple scientific articles into a section of a survey. Our contributions are: (1) SurveySum, a new dataset addressing the gap in domain-specific summarization tools; (2) two specific pipelines to summarize scientific articles into a section of a survey; and (3) the evaluation of these pipelines using multiple metrics to compare their performance. Our results highlight the importance of high-quality retrieval stages and the impact of different configurations on the quality of generated summaries.",\nisbn="978-3-031-79032-4"\n}\n\n
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\n Document summarization is a task to shorten texts into concise and informative summaries. This paper introduces a novel dataset designed for summarizing multiple scientific articles into a section of a survey. Our contributions are: (1) SurveySum, a new dataset addressing the gap in domain-specific summarization tools; (2) two specific pipelines to summarize scientific articles into a section of a survey; and (3) the evaluation of these pipelines using multiple metrics to compare their performance. Our results highlight the importance of high-quality retrieval stages and the impact of different configurations on the quality of generated summaries.\n
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\n  \n 2024\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n Robotic Action Planning Using Large Language Models.\n \n \n \n\n\n \n Da Silva, C. B.; Ramírez, J. L. B.; Mastelari, N.; Lotufo, R.; Pereira, J.; and Rohmer, E.\n\n\n \n\n\n\n In 2024 Latin American Robotics Symposium (LARS), pages 1-6, 2024. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@INPROCEEDINGS{10786412,\n  author={Da Silva, César Bastos and Ramírez, Juan Luis Barraza and Mastelari, Niederauer and Lotufo, Roberto and Pereira, Jayr and Rohmer, Eric},\n  booktitle={2024 Latin American Robotics Symposium (LARS)}, \n  title={Robotic Action Planning Using Large Language Models}, \n  year={2024},\n  volume={},\n  number={},\n  pages={1-6},\n  keywords={Industries;Service robots;Large language models;Natural languages;Memory management;Humanoid robots;Cognition;Planning;Prompt engineering;Robots;ReAct;Task Planning;LLM;AI;Robotics Actions},\n  doi={10.1109/LARS64411.2024.10786412}}\n\n
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\n \n\n \n \n \n \n \n Predictive authoring for Brazilian Portuguese augmentative and alternative communication.\n \n \n \n\n\n \n Pereira, J.; Nogueira, R.; Zanchettin, C.; and Fidalgo, R.\n\n\n \n\n\n\n Natural Language Processing,1–24. 2024.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Pereira_Nogueira_Zanchettin_Fidalgo_2024, \n\ttitle={Predictive authoring for Brazilian Portuguese augmentative and alternative communication}, \n\tDOI={10.1017/nlp.2024.27}, \n\tjournal={Natural Language Processing}, \n\tauthor={Pereira, Jayr and Nogueira, Rodrigo and Zanchettin, Cleber and Fidalgo, Robson}, \n\tyear={2024}, \n\tpages={1–24}\n}\n
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\n \n\n \n \n \n \n \n \n PrAACT: Predictive Augmentative and Alternative Communication with Transformers.\n \n \n \n \n\n\n \n Pereira, J. A.; Pereira, J. A.; Zanchettin, C.; and do Nascimento Fidalgo , R.\n\n\n \n\n\n\n Expert Systems with Applications, 240: 122417. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"PrAACT:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@article{PEREIRA2024122417,\ntitle = {PrAACT: Predictive Augmentative and Alternative Communication with Transformers},\njournal = {Expert Systems with Applications},\nvolume = {240},\npages = {122417},\nyear = {2024},\nissn = {0957-4174},\ndoi = {https://doi.org/10.1016/j.eswa.2023.122417},\nurl = {https://www.sciencedirect.com/science/article/pii/S0957417423029196},\nauthor = {Jayr Alencar Pereira and Jaylton Alencar Pereira and Cleber Zanchettin and Robson {do Nascimento Fidalgo}},\nkeywords = {Augmentative and Alternative Communication, Language modeling, Communication card prediction},\nabstract = {Augmentative and Alternative Communication (AAC) systems assist individuals with complex communication needs, allowing them to construct sentences by selecting communication cards. The facilitation of sentence construction primarily entails enabling efficient communication card selection. An approach to this involves using language models for communication card prediction. Nonetheless, the heterogeneity of the AAC population poses unique challenges due to diverse vocabulary needs, suggesting one-size-fits-all approaches may be insufficient. This study introduces PrAACT, a method that leverages large, transformer-based language models, such as BERT, for communication card prediction. This method focuses on easy adaptability to incorporate user-specific vocabularies into the model. The method involves adapting a text corpus to the AAC domain, fine-tuning a transformer-based language model, and replacing the language model weights with an encoded representation of the user’s vocabulary. We conducted an assessment of PrAACT under both zero-shot and few-shot scenarios. The performance of the models produced using PrAACT was superior to those pre-trained for the task. In addition, the main advantage of PrAACT is that it allows to quickly adapt a transformer-based language model to communication card prediction according to the user’s vocabulary.}\n}\n
\n
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\n Augmentative and Alternative Communication (AAC) systems assist individuals with complex communication needs, allowing them to construct sentences by selecting communication cards. The facilitation of sentence construction primarily entails enabling efficient communication card selection. An approach to this involves using language models for communication card prediction. Nonetheless, the heterogeneity of the AAC population poses unique challenges due to diverse vocabulary needs, suggesting one-size-fits-all approaches may be insufficient. This study introduces PrAACT, a method that leverages large, transformer-based language models, such as BERT, for communication card prediction. This method focuses on easy adaptability to incorporate user-specific vocabularies into the model. The method involves adapting a text corpus to the AAC domain, fine-tuning a transformer-based language model, and replacing the language model weights with an encoded representation of the user’s vocabulary. We conducted an assessment of PrAACT under both zero-shot and few-shot scenarios. The performance of the models produced using PrAACT was superior to those pre-trained for the task. In addition, the main advantage of PrAACT is that it allows to quickly adapt a transformer-based language model to communication card prediction according to the user’s vocabulary.\n
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\n \n\n \n \n \n \n \n \n An experiment on an automated literature survey of data-driven speech enhancement methods.\n \n \n \n \n\n\n \n dos Santos, Arthur; Pereira, Jayr; Nogueira, Rodrigo; Masiero, Bruno; Tavallaey, Shiva Sander; and Zea, Elias\n\n\n \n\n\n\n Acta Acust., 8: 2. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{ refId0,\n\tauthor = {{dos Santos, Arthur} and {Pereira, Jayr} and {Nogueira, Rodrigo} and {Masiero, Bruno} and {Tavallaey, Shiva Sander} and {Zea, Elias}},\n\ttitle = {An experiment on an automated literature survey of data-driven speech enhancement methods},\n\tDOI= "10.1051/aacus/2023067",\n\turl= "https://doi.org/10.1051/aacus/2023067",\n\tjournal = {Acta Acust.},\n\tyear = 2024,\n\tvolume = 8,\n\tpages = "2",\n}\n
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\n \n\n \n \n \n \n \n \n Large Language Models in Summarizing Social Media for Emergency Management.\n \n \n \n \n\n\n \n Pereira, J.; Lotufo, R.; and Nogueira, R.\n\n\n \n\n\n\n In Proceedings of the 32st Text Retrieval Conference (TREC 2023) Ian Soboroff and Angela Ellis, eds., 2024. \n \n\n\n\n
\n\n\n\n \n \n \"LargePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{pereirausing,\n  title={Large Language Models in Summarizing Social Media for Emergency Management},\n  author={Pereira, Jayr and Lotufo, Roberto and Nogueira, Rodrigo},\n  year={2024},\n  booktitle = {Proceedings of the 32st Text Retrieval Conference (TREC 2023) Ian Soboroff and Angela Ellis, eds.},\n  url={https://trec.nist.gov/pubs/trec32/papers/NM.F.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n \n Quati: A Brazilian Portuguese Information Retrieval Dataset from Native Speakers.\n \n \n \n \n\n\n \n Bueno, M.; de Oliveira, E. S.; Nogueira, R.; Lotufo, R.; and Pereira, J.\n\n\n \n\n\n\n In Anais do XV Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana, pages 236–246, Porto Alegre, RS, Brasil, 2024. SBC\n \n\n\n\n
\n\n\n\n \n \n \"Quati:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{stil,\n author = {Mirelle Bueno and E. Seiti de Oliveira and Rodrigo Nogueira and Roberto Lotufo and Jayr Pereira},\n title = { Quati: A Brazilian Portuguese Information Retrieval Dataset from Native Speakers},\n booktitle = {Anais do XV Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana},\n location = {Belém/PA},\n year = {2024},\n keywords = {},\n issn = {0000-0000},\n pages = {236--246},\n publisher = {SBC},\n address = {Porto Alegre, RS, Brasil},\n doi = {10.5753/stil.2024.245426},\n url = {https://sol.sbc.org.br/index.php/stil/article/view/31136}\n}\n\n
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\n \n\n \n \n \n \n \n Enhancing Augmentative and Alternative Communication with Card Prediction and Colourful Semantics.\n \n \n \n\n\n \n Pereira, J.; Rodrigues, F.; Pereira, J.; Zanchettin, C.; and Fidalgo, R.\n\n\n \n\n\n\n 2024.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{pereira2024enhancing,\n      title={Enhancing Augmentative and Alternative Communication with Card Prediction and Colourful Semantics}, \n      author={Jayr Pereira and Francisco Rodrigues and Jaylton Pereira and Cleber Zanchettin and Robson Fidalgo},\n      year={2024},\n      eprint={2405.15896},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n
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\n \n\n \n \n \n \n \n \n Check-Eval: A Checklist-based Approach for Evaluating Text Quality.\n \n \n \n \n\n\n \n Pereira, J.; and Lotufo, R.\n\n\n \n\n\n\n 2024.\n \n\n\n\n
\n\n\n\n \n \n \"Check-Eval:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{pereira2024checkevalchecklistbasedapproachevaluating,\n      title={Check-Eval: A Checklist-based Approach for Evaluating Text Quality}, \n      author={Jayr Pereira and Roberto Lotufo},\n      year={2024},\n      eprint={2407.14467},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL},\n      url={https://arxiv.org/abs/2407.14467}, \n}\n
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\n \n\n \n \n \n \n \n \n PublicHearingBR: A Brazilian Portuguese Dataset of Public Hearing Transcripts for Summarization of Long Documents.\n \n \n \n \n\n\n \n Fernandes, L. C.; Dobins, G. Z. R.; Lotufo, R.; and Pereira, J. A.\n\n\n \n\n\n\n 2024.\n \n\n\n\n
\n\n\n\n \n \n \"PublicHearingBR:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@misc{fernandes2024publichearingbrbrazilianportuguesedataset,\n      title={PublicHearingBR: A Brazilian Portuguese Dataset of Public Hearing Transcripts for Summarization of Long Documents}, \n      author={Leandro Carísio Fernandes and Guilherme Zeferino Rodrigues Dobins and Roberto Lotufo and Jayr Alencar Pereira},\n      year={2024},\n      eprint={2410.07495},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL},\n      url={https://arxiv.org/abs/2410.07495}, \n}\n
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\n \n\n \n \n \n \n \n \n Visconde: Multi-document QA with GPT-3 and Neural Reranking.\n \n \n \n \n\n\n \n Pereira, J.; Fidalgo, R.; Lotufo, R.; and Nogueira, R.\n\n\n \n\n\n\n In Kamps, J.; Goeuriot, L.; Crestani, F.; Maistro, M.; Joho, H.; Davis, B.; Gurrin, C.; Kruschwitz, U.; and Caputo, A., editor(s), Advances in Information Retrieval, pages 534–543, Cham, 2023. Springer Nature Switzerland\n \n\n\n\n
\n\n\n\n \n \n \"Visconde:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{visconde,\nauthor="Pereira, Jayr\nand Fidalgo, Robson\nand Lotufo, Roberto\nand Nogueira, Rodrigo",\neditor="Kamps, Jaap\nand Goeuriot, Lorraine\nand Crestani, Fabio\nand Maistro, Maria\nand Joho, Hideo\nand Davis, Brian\nand Gurrin, Cathal\nand Kruschwitz, Udo\nand Caputo, Annalina",\ntitle="Visconde: Multi-document QA with GPT-3 and Neural Reranking",\nbooktitle="Advances in Information Retrieval",\nyear="2023",\npublisher="Springer Nature Switzerland",\naddress="Cham",\npages="534--543",\nisbn="978-3-031-28238-6",\nurl={https://link.springer.com/chapter/10.1007/978-3-031-28238-6_44},\ndoi={10.1007/978-3-031-28238-6_44}\n}\n
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\n \n\n \n \n \n \n \n \n Using Neural Reranking and GPT-3 for Social Media Disaster Content Summarization.\n \n \n \n \n\n\n \n Pereira, J.; Fidalgo, R.; Lotufo, R.; and Nogueira, R.\n\n\n \n\n\n\n In Proceedings of the 31st Text Retrieval Conference (TREC 2022) Ian Soboroff and Angela Ellis, eds., 2023. \n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pereirausing,\n  title={Using Neural Reranking and GPT-3 for Social Media Disaster Content Summarization},\n  author={Pereira, Jayr and Fidalgo, Robson and Lotufo, Roberto and Nogueira, Rodrigo},\n  year={2023},\n  booktitle = {Proceedings of the 31st Text Retrieval Conference (TREC 2022) Ian Soboroff and Angela Ellis, eds.},\n  url={https://trec.nist.gov/pubs/trec31/papers/NM.unicamp.R.pdf}\n}\n
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\n \n\n \n \n \n \n \n \n Crisis Event Social Media Summarization with GPT-3 and Neural Reranking.\n \n \n \n \n\n\n \n Pereira, J.; Fidalgo, R.; Lotufo, R.; and Nogueira, R.\n\n\n \n\n\n\n In Proceedings of the 20th International ISCRAM Conference, pages 371–384, 2023. University of Nebraska at Omaha\n \n\n\n\n
\n\n\n\n \n \n \"CrisisPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pereira2023iscram,\n  title={Crisis Event Social Media Summarization with GPT-3 and Neural Reranking},\n  author={Pereira, Jayr and Fidalgo, Robson and Lotufo, Roberto and Nogueira, Rodrigo},\n  booktitle={Proceedings of the 20th International ISCRAM Conference},\n  pages={371--384},\n  year={2023},\n  organization={University of Nebraska at Omaha},\n  url={https://idl.iscram.org/files/pestana/2023/2600_Pestana+Vieira2023.pdf}\n}\n
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\n \n\n \n \n \n \n \n \n An Augmentative and Alternative Communication Synthetic Corpus for Brazilian Portuguese.\n \n \n \n \n\n\n \n Pereira, J.; Nogueira, R.; Zanchettin, C.; and Fidalgo, R.\n\n\n \n\n\n\n In Proceedings of the 2023 IEEE International Conference on Advanced Learning Technologies, pages 202-206, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pereira2023icalt,\n  title={An Augmentative and Alternative Communication Synthetic Corpus for Brazilian Portuguese},\n  author={Pereira, Jayr and Nogueira, Rodrigo and Zanchettin, Cleber and Fidalgo, Robson},\n  booktitle={Proceedings of the 2023 IEEE International Conference on Advanced Learning Technologies},\n  pages={202-206},\n  year={2023},\n  url={https://www.researchgate.net/publication/372244549_An_Augmentative_and_Alternative_Communication_Synthetic_Corpus_for_Brazilian_Portuguese},\n  doi={10.1109/ICALT58122.2023.00066}\n}\n
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\n \n\n \n \n \n \n \n \n A method for adapting large language models for communication card prediction in augmentative and alternative communication systems.\n \n \n \n \n\n\n \n PEREIRA, J. A.\n\n\n \n\n\n\n Ph.D. Thesis, Universidade Federal de Pernambuco, 2023.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@phdthesis{pereira2023method,\n  title={A method for adapting large language models for communication card prediction in augmentative and alternative communication systems},\n  author={PEREIRA, Jayr Alencar},\n  year={2023},\n  school={Universidade Federal de Pernambuco},\n  url={https://repositorio.ufpe.br/handle/123456789/52149},\n  doi={10.13140/RG.2.2.20576.46088}\n}\n
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\n  \n 2022\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n PictoBERT: Transformers for next pictogram prediction.\n \n \n \n \n\n\n \n Pereira, J. A.; Macêdo, D.; Zanchettin, C.; de Oliveira , A. L. I.; and do Nascimento Fidalgo, R.\n\n\n \n\n\n\n Expert Systems with Applications, 202: 117231. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"PictoBERT:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@article{PEREIRA2022pictobert,\ntitle = {PictoBERT: Transformers for next pictogram prediction},\njournal = {Expert Systems with Applications},\nvolume = {202},\npages = {117231},\nyear = {2022},\nissn = {0957-4174},\ndoi = {https://doi.org/10.1016/j.eswa.2022.117231},\nurl = {https://www.sciencedirect.com/science/article/pii/S095741742200611X},\nauthor = {Jayr Alencar Pereira and David Macêdo and Cleber Zanchettin and Adriano Lorena Inácio {de Oliveira} and Robson do Nascimento Fidalgo},\nkeywords = {Augmentative and alternative communication, Language modeling, Pictogram prediction},\nabstract = {Augmentative and Alternative Communication (AAC) boards are essential tools for people with Complex Communication Needs (e.g., a person with down’s syndrome, autism, or cerebral palsy). These boards allow the construction of messages by arranging pictograms in sequence. In this context, a pictogram is a picture with a label that denotes an action, object, person, animal, or place. Predicting the next pictogram to be set in a sentence in construction is an essential feature for AAC boards to facilitate communication. Previous work in this task used n-gram statistical language models and knowledge bases. However, neural network literature suggests they can cope better with the task, and transformers-based models like BERT (Bidirectional Encoder Representations from Transformers) are revolutionizing this field. In this paper, we present PictoBERT, an adaptation of BERT for the next pictogram prediction task. We changed the BERT’s input embeddings to allow word-sense usage instead of words, considering that a word-sense represents a pictogram better than a simple word. The proposed model outperforms the n-gram models and knowledge bases. Besides, PictoBERT can be fine-tuned to adapt to different users’ needs, making transfer learning its main characteristic.}\n}\n\n
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\n Augmentative and Alternative Communication (AAC) boards are essential tools for people with Complex Communication Needs (e.g., a person with down’s syndrome, autism, or cerebral palsy). These boards allow the construction of messages by arranging pictograms in sequence. In this context, a pictogram is a picture with a label that denotes an action, object, person, animal, or place. Predicting the next pictogram to be set in a sentence in construction is an essential feature for AAC boards to facilitate communication. Previous work in this task used n-gram statistical language models and knowledge bases. However, neural network literature suggests they can cope better with the task, and transformers-based models like BERT (Bidirectional Encoder Representations from Transformers) are revolutionizing this field. In this paper, we present PictoBERT, an adaptation of BERT for the next pictogram prediction task. We changed the BERT’s input embeddings to allow word-sense usage instead of words, considering that a word-sense represents a pictogram better than a simple word. The proposed model outperforms the n-gram models and knowledge bases. Besides, PictoBERT can be fine-tuned to adapt to different users’ needs, making transfer learning its main characteristic.\n
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\n \n\n \n \n \n \n \n \n Pictogram Prediction in Alternative Communication Boards: a Mapping Study.\n \n \n \n \n\n\n \n Pereira, J.; Medeiros, S.; Zanchettin, C.; and Fidalgo, R.\n\n\n \n\n\n\n In Anais do XXXIII Simpósio Brasileiro de Informática na Educação, pages 705–717, Porto Alegre, RS, Brasil, 2022. SBC\n \n\n\n\n
\n\n\n\n \n \n \"PictogramPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pereira2022pictogram,\n author = {Jayr Pereira and Sheyla Medeiros and Cleber Zanchettin and Robson Fidalgo},\n title = {Pictogram Prediction in Alternative Communication Boards: a Mapping Study},\n booktitle = {Anais do XXXIII Simpósio Brasileiro de Informática na Educação},\n location = {Manaus},\n year = {2022},\n keywords = {},\n issn = {0000-0000},\n pages = {705--717},\n publisher = {SBC},\n address = {Porto Alegre, RS, Brasil},\n doi = {10.5753/sbie.2022.225217},\n url = {https://sol.sbc.org.br/index.php/sbie/article/view/22452}\n}\n\n
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\n  \n 2021\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Caregivers Acceptance of Using Semantic Communication Boards for teaching Children with Complex Communication Needs.\n \n \n \n \n\n\n \n Pereira, J.; Pereira, J.; and Fidalgo, R.\n\n\n \n\n\n\n In Anais do XXXII Simpósio Brasileiro de Informática na Educação, pages 642–654, Porto Alegre, RS, Brasil, 2021. SBC\n \n\n\n\n
\n\n\n\n \n \n \"CaregiversPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pereira2021caregivers,\n author = {Jayr Pereira and Jaylton Pereira and Robson Fidalgo},\n title = {Caregivers Acceptance of Using Semantic Communication Boards for teaching Children with Complex Communication Needs},\n booktitle = {Anais do XXXII Simpósio Brasileiro de Informática na Educação},\n location = {Online},\n year = {2021},\n keywords = {},\n issn = {0000-0000},\n pages = {642--654},\n publisher = {SBC},\n address = {Porto Alegre, RS, Brasil},\n doi = {10.5753/sbie.2021.218141},\n url = {https://sol.sbc.org.br/index.php/sbie/article/view/18094}\n}\n\n
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\n  \n 2020\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n A Semantic Grammar for Augmentative and Alternative Communication Systems.\n \n \n \n\n\n \n Pereira, J.; Franco, N.; and Fidalgo, R.\n\n\n \n\n\n\n In Sojka, P.; Kopeček, I.; Pala, K.; and Horák, A., editor(s), Text, Speech, and Dialogue, pages 257–264, Cham, 2020. Springer International Publishing\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pereira2020semantic,\nabstract = {The authoring of meaningful sentences is an essential requirement for AAC systems aimed at the education of children with complex communication needs. Some studies propose the use of linguistic knowledge databases to meet that requirement. In this paper, we propose and present a Semantic Grammar (SG) for AAC systems based on visual and semantic clues. The proposed SG was acquired using an automatic process based on Natural Language Processing (NLP) techniques for the extraction of semantic relations from text samples. We assessed the SG precision on suggesting the correct words on reconstructing telegraphic sentences and obtained a precision average of 90{\\%}.},\naddress = {Cham},\nauthor = {Pereira, Jayr and Franco, Nat{\\'{a}}lia and Fidalgo, Robson},\nbooktitle = {Text, Speech, and Dialogue},\ndoi = {10.1007/978-3-030-58323-1_28},\neditor = {Sojka, Petr and Kope{\\v{c}}ek, Ivan and Pala, Karel and Hor{\\'{a}}k, Ale{\\v{s}}},\nisbn = {978-3-030-58323-1},\nmendeley-groups = {Mapping,mapping results},\npages = {257--264},\npublisher = {Springer International Publishing},\ntitle = {{A Semantic Grammar for Augmentative and Alternative Communication Systems}},\nyear = {2020}\n}\n\n
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\n The authoring of meaningful sentences is an essential requirement for AAC systems aimed at the education of children with complex communication needs. Some studies propose the use of linguistic knowledge databases to meet that requirement. In this paper, we propose and present a Semantic Grammar (SG) for AAC systems based on visual and semantic clues. The proposed SG was acquired using an automatic process based on Natural Language Processing (NLP) techniques for the extraction of semantic relations from text samples. We assessed the SG precision on suggesting the correct words on reconstructing telegraphic sentences and obtained a precision average of 90%.\n
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\n \n\n \n \n \n \n \n \n Uma gramática semântica baseada em Colorful Semantics para Comunicação Aumentativa e Alternativa.\n \n \n \n \n\n\n \n PEREIRA, J. A.\n\n\n \n\n\n\n Master's thesis, Universidade Federal de Pernambuco, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"UmaPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@mastersthesis{pereira2020gramatica,\n  title={Uma gram{\\'a}tica sem{\\^a}ntica baseada em Colorful Semantics para Comunica{\\c{c}}{\\~a}o Aumentativa e Alternativa},\n  author={PEREIRA, Jayr Alencar},\n  year={2020},\n  school={Universidade Federal de Pernambuco},\n  url={https://repositorio.ufpe.br/handle/123456789/37904}\n}\n\n
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\n  \n 2019\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Facilitators and barriers to using alternative and augmentative communication systems by aphasic: Therapists perceptions.\n \n \n \n \n\n\n \n Pereira, J.; Pena, C.; de Melo, M.; Cartaxo, B.; Fidalgo, R.; and Soares, S.\n\n\n \n\n\n\n In 2019 IEEE 32nd international symposium on computer-based medical systems (CBMS), pages 349–354, 2019. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"FacilitatorsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pereira2019facilitators,\n  title={Facilitators and barriers to using alternative and augmentative communication systems by aphasic: Therapists perceptions},\n  author={Pereira, Jayr and Pena, Carolline and de Melo, Mariana and Cartaxo, Bruno and Fidalgo, Robson and Soares, S{\\'e}rgio},\n  booktitle={2019 IEEE 32nd international symposium on computer-based medical systems (CBMS)},\n  pages={349--354},\n  year={2019},\n  organization={IEEE},\n  doi={10.1109/CBMS.2019.00077},\n  url={https://doi.org/10.1109/CBMS.2019.00077}\n}\n\n
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\n \n\n \n \n \n \n \n \n Usando Comunicação Aumentativa e Alternativa para ensinar Equivalência de Estı́mulos.\n \n \n \n \n\n\n \n Pereira, J.; Franco, N.; Pereira, R.; and Fidalgo, R.\n\n\n \n\n\n\n In Brazilian Symposium on Computers in Education (Simposio Brasileiro de Informática na Educação-SBIE), volume 30, pages 1281, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"UsandoPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pereira2019usando,\n  title={Usando Comunica{\\c{c}}{\\~a}o Aumentativa e Alternativa para ensinar Equival{\\^e}ncia de Est{\\'\\i}mulos},\n  author={Pereira, Jayr and Franco, Nat{\\'a}lia and Pereira, Rosany and Fidalgo, Robson},\n  booktitle={Brazilian Symposium on Computers in Education (Simposio Brasileiro de Inform{\\'a}tica na Educa{\\c{c}}{\\~a}o-SBIE)},\n  volume={30},\n  number={1},\n  pages={1281},\n  year={2019},\n  doi={10.5753/cbie.sbie.2019.1281},\n  url={http://ojs.sector3.com.br/index.php/sbie/article/view/8860}\n}\n\n
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\n \n\n \n \n \n \n \n \n Towards meaningful learning with stimulus equivalence activities adaptation on the aBoard platform.\n \n \n \n \n\n\n \n Fidalgo, R.; Pereira, J.; Franco, N.; and Giraldo, F.\n\n\n \n\n\n\n In Proceedings of the 5th Workshop on ICTs for improving Patients Rehabilitation Research Techniques, pages 47–50, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{fidalgo2019towards,\n  title={Towards meaningful learning with stimulus equivalence activities adaptation on the aBoard platform},\n  author={Fidalgo, Robson and Pereira, Jayr and Franco, Nat{\\'a}lia and Giraldo, F{\\'a}ber},\n  booktitle={Proceedings of the 5th Workshop on ICTs for improving Patients Rehabilitation Research Techniques},\n  pages={47--50},\n  year={2019},\n  doi={10.1145/3364138.3364150},\n  url={https://dl.acm.org/doi/10.1145/3364138.3364150}\n}\n\n
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\n \n\n \n \n \n \n \n \n Using assistive robotics for aphasia rehabilitation.\n \n \n \n \n\n\n \n Pereira, J.; de Melo, M.; Franco, N.; Rodrigues, F.; Coelho, A.; and Fidalgo, R.\n\n\n \n\n\n\n In 2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE), pages 387–392, 2019. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pereira2019using,\n  title={Using assistive robotics for aphasia rehabilitation},\n  author={Pereira, Jayr and de Melo, Mariana and Franco, Natalia and Rodrigues, Francisco and Coelho, Alexsandro and Fidalgo, Robson},\n  booktitle={2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE)},\n  pages={387--392},\n  year={2019},\n  organization={IEEE},\n  doi={10.1109/LARS-SBR-WRE48964.2019.00074},\n  url={https://ieeexplore.ieee.org/document/9018569}\n}\n\n
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\n \n\n \n \n \n \n \n BRAILLE MESSENGER – APLICATIVO DE TROCA DE MENSAGENSINSTANTÂNEAS PARA DEFICIENTES VISUAIS.\n \n \n \n\n\n \n VIANA, D. C.; RIBEIRO, H. S.; and PEREIRA, J. A.\n\n\n \n\n\n\n In IX Semana de Iniciação Cientı́fica - FJN, 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{viana2017braille,\n  title={BRAILLE MESSENGER -- APLICATIVO DE TROCA DE MENSAGENSINSTANT{\\^A}NEAS PARA DEFICIENTES VISUAIS},\n  author={VIANA, D. C. and RIBEIRO, H. S. and PEREIRA, J. A.},\n  booktitle={IX Semana de Inicia{\\c{c}}{\\~a}o Cient{\\'\\i}fica - FJN},\n  year={2017}\n}\n\n
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\n  \n 2013\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n DISPOSITIVO DE APOIO A DEFICIENTES VISUAIS-DAVI.\n \n \n \n\n\n \n PEREIRA, J. A.; CARVALHO NETO, E. A.; RODRIGUES, F. A. S.; BRITO, J. L. S.; OLIVEIRA, R.; and PONTES, T. B.\n\n\n \n\n\n\n In Congresso Nacional de Inciciação Cientı́fica - CONIC-SEMESP, 2013. FACULDADE DE CIÊNCIAS APLICADAS DOUTOR LEÃO SAMPAIO\n \n\n\n\n
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@inproceedings{pereira2013dispositivo,\n  title={DISPOSITIVO DE APOIO A DEFICIENTES VISUAIS-DAVI},\n  author={PEREIRA, J. A. and CARVALHO NETO, E. A. and RODRIGUES, F. A. S. and BRITO, J. L. S. and OLIVEIRA, R. and PONTES, T. B.},\n  booktitle={Congresso Nacional de Incicia{\\c{c}}{\\~a}o Cient{\\'\\i}fica - CONIC-SEMESP},\n  year={2013},\n  organization={FACULDADE DE CI{\\^E}NCIAS APLICADAS DOUTOR LE{\\~A}O SAMPAIO}\n}\n
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