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Estudo exploratório de categorias gramaticais com potencial de indicadores para a Análise de Sentimentos (An Exploratory study of grammatical categories as potential indicators for Sentiment Analysis)In Portuguese.

, , and . STIL, page 17-21. Sociedade Brasileira de Computação, (2017)

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Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities., , , and . COLING, page 2261-2272. International Committee on Computational Linguistics, (2020)Estudo exploratório de categorias gramaticais com potencial de indicadores para a Análise de Sentimentos (An Exploratory study of grammatical categories as potential indicators for Sentiment Analysis)In Portuguese., , and . STIL, page 17-21. Sociedade Brasileira de Computação, (2017)Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus., , , , , , , , , and 9 other author(s). RANLP, page 234-243. INCOMA Ltd., (2021)Measuring Proximity Between Source and Target Texts: an Exploratory Study., , and . Recent Contributions to Quantitative Linguistics, volume 70 of Quantitative Linguistics, DeGruyter, (2015)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)Toxic Content Detection in online social networks: a new dataset from Brazilian Reddit Communities., , and . PROPOR, page 472-482. Association for Computational Lingustics, (2024)Challenges in Annotating a Treebank of Clinical Narratives in Brazilian Portuguese., , , and . PROPOR, volume 13208 of Lecture Notes in Computer Science, page 90-100. Springer, (2022)On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval., , , , , , , , , and . Neurocomputing, (2024)Frame2: A FrameNet-based Multimodal Dataset for Tackling Text-image Interactions in Video., , , , , , , , , and 14 other author(s). LREC/COLING, page 7429-7437. ELRA and ICCL, (2024)Enriching the E2E dataset., , , and . INLG, page 177-183. Association for Computational Linguistics, (2021)