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Supervised learning for the detection of negation and of its scope in French and Brazilian Portuguese biomedical corpora.

, , , , , , and . Nat. Lang. Eng., 27 (2): 181-201 (2021)

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SemClinBr - a multi institutional and multi specialty semantically annotated corpus for Portuguese clinical NLP tasks., , , , , , , , and . CoRR, (2020)Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain., , , , and . BRACIS (3), volume 14197 of Lecture Notes in Computer Science, page 256-267. Springer, (2023)Experiments on Portuguese Clinical Question Answering., , , , , and . BRACIS (2), volume 13074 of Lecture Notes in Computer Science, page 133-145. Springer, (2021)PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction., , , , , , , , , and 1 other author(s). IberLEF@SEPLN, volume 2943 of CEUR Workshop Proceedings, page 683-691. CEUR-WS.org, (2021)Temporal Relation Extraction in Clinical Texts: A Systematic Review., , , , , , and . ACM Comput. Surv., 54 (7): 144:1-144:36 (2022)BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition., , , , , , , , , and . ClinicalNLP@EMNLP, page 65-72. Association for Computational Linguistics, (2020)SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks., , , , , , , , and . J. Biomed. Semant., 13 (1): 13 (2022)A GPT-2 Language Model for Biomedical Texts in Portuguese., , , , and . CBMS, page 474-479. IEEE, (2021)Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task., , , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 123-127. IOS Press, (2019)Exploiting Siamese Neural Networks on Short Text Similarity Tasks for Multiple Domains and Languages., , , , and . PROPOR, volume 12037 of Lecture Notes in Computer Science, page 357-367. Springer, (2020)