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RoBERTaLexPT: A Legal RoBERTa Model pretrained with deduplication for Portuguese.

, , , , , , and . PROPOR, page 374-383. Association for Computational Lingustics, (2024)

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CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages., , , , , , , , , and 2 other author(s). CoRR, (2023)#TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets., and . SemEval@NAACL-HLT, page 415-418. Association for Computational Linguistics, (2018)UlyssesSD-Br: Stance Detection in Brazilian Political Polls., , , , , , , , , and 2 other author(s). EPIA, volume 13566 of Lecture Notes in Computer Science, page 85-95. Springer, (2022)CPrefMiner: Um Minerador Bayesiano de Preferências Condicionais., and . SBBD (Posters), page 4:1-4:8. SBC, (2010)Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text., , , , , , , , , and 7 other author(s). EPIA, volume 13566 of Lecture Notes in Computer Science, page 767-779. Springer, (2022)Mining User Contextual Preferences., , , and . SBBD (Short Papers), page 177-184. SBC, (2012)Combining Classification and Clustering for Tweet Sentiment Analysis., , , and . BRACIS, page 210-215. IEEE Computer Society, (2014)UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition., , , , , , , , , and . PROPOR, page 342-352. Association for Computational Lingustics, (2024)A survey and study impact of tweet sentiment analysis via transfer learning in low resource scenarios., , and . Lang. Resour. Evaluation, 58 (1): 133-174 (March 2024)Named Entity Recognition: a Survey for the Portuguese Language., , , , , , , , , and . Proces. del Leng. Natural, (2023)