Applying active learning in named entity recognition corpora expansion in legal domain (2025)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; GOUVEIA, RAFAEL PEREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.59490/dgo.2025.945
- Subjects: RECUPERAÇÃO DA INFORMAÇÃO; PROCESSAMENTO DE LINGUAGEM NATURAL; APRENDIZADO COMPUTACIONAL; PORTUGUÊS DO BRASIL
- Keywords: Active Learning; Named Entity Recognition (NER); Selection Criteria
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Digital Government Society - DGS
- Publisher place: [S.l.]
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: Annual International Conference on Digital Government Research - DG.O
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GOUVEIA, Rafael Pereira et al. Applying active learning in named entity recognition corpora expansion in legal domain. 2025, Anais.. [S.l.]: Digital Government Society - DGS, 2025. Disponível em: https://doi.org/10.59490/dgo.2025.945. Acesso em: 04 ago. 2025. -
APA
Gouveia, R. P., Carvalho, A. C. P. de L. F. de, Souza, E. P. R., Albuquerque, H. O., Vitório, D., & Silva, N. F. F. da. (2025). Applying active learning in named entity recognition corpora expansion in legal domain. In Proceedings. [S.l.]: Digital Government Society - DGS. doi:10.59490/dgo.2025.945 -
NLM
Gouveia RP, Carvalho ACP de LF de, Souza EPR, Albuquerque HO, Vitório D, Silva NFF da. Applying active learning in named entity recognition corpora expansion in legal domain [Internet]. Proceedings. 2025 ;[citado 2025 ago. 04 ] Available from: https://doi.org/10.59490/dgo.2025.945 -
Vancouver
Gouveia RP, Carvalho ACP de LF de, Souza EPR, Albuquerque HO, Vitório D, Silva NFF da. Applying active learning in named entity recognition corpora expansion in legal domain [Internet]. Proceedings. 2025 ;[citado 2025 ago. 04 ] Available from: https://doi.org/10.59490/dgo.2025.945 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.59490/dgo.2025.945 (Fonte: oaDOI API)
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