Aspect-based sentiment analysis using BERT with disentangled attention (2021)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; SILVA, EMANUEL HUBER DA - ICMC
- Unidade: ICMC
- Subjects: RECONHECIMENTO DE TEXTO; APRENDIZADO COMPUTACIONAL; VISÃO COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: International Machine Learning Conference - ICML
-
ABNT
SILVA, Emanuel Huber da e MARCACINI, Ricardo Marcondes. Aspect-based sentiment analysis using BERT with disentangled attention. 2021, Anais.. [s.l.: s.n.], 2021. Disponível em: https://research.latinxinai.org/papers/icml/2021/pdf/paper_28.pdf. Acesso em: 24 abr. 2025. -
APA
Silva, E. H. da, & Marcacini, R. M. (2021). Aspect-based sentiment analysis using BERT with disentangled attention. In Proceedings. [s.l.: s.n.]. Recuperado de https://research.latinxinai.org/papers/icml/2021/pdf/paper_28.pdf -
NLM
Silva EH da, Marcacini RM. Aspect-based sentiment analysis using BERT with disentangled attention [Internet]. Proceedings. 2021 ;[citado 2025 abr. 24 ] Available from: https://research.latinxinai.org/papers/icml/2021/pdf/paper_28.pdf -
Vancouver
Silva EH da, Marcacini RM. Aspect-based sentiment analysis using BERT with disentangled attention [Internet]. Proceedings. 2021 ;[citado 2025 abr. 24 ] Available from: https://research.latinxinai.org/papers/icml/2021/pdf/paper_28.pdf - Etiquetagem morfossintática multigênero para o português do Brasil segundo o modelo Universal Dependencies
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