Yohan Bonescki Gumiel
Orcid: 0000-0001-8239-2930
According to our database1,
Yohan Bonescki Gumiel
authored at least 12 papers
between 2019 and 2023.
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On csauthors.net:
Bibliography
2023
CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2022
ACM Comput. Surv., 2022
SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks.
J. Biomed. Semant., 2022
2021
Supervised learning for the detection of negation and of its scope in French and Brazilian Portuguese biomedical corpora.
Nat. Lang. Eng., 2021
PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
2020
Exploiting Siamese Neural Networks on Short Text Similarity Tasks for Multiple Domains and Languages.
Proceedings of the Computational Processing of the Portuguese Language, 2020
BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
Incorporating Multiple Feature Groups to a Siamese Neural Network for Semantic Textual Similarity Task in Portuguese Texts.
Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese co-located with XII Symposium in Information and Human Language Technology (STIL 2019), 2019
Learning Portuguese Clinical Word Embeddings: A Multi-Specialty and Multi-Institutional Corpus of Clinical Narratives Supporting a Downstream Biomedical Task.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019