Named Entity Recognition approaches applied to legal document segmentation (2022)
- Authors:
- Autor USP: MARCACINI, RICARDO MARCONDES - ICMC
- Unidade: ICMC
- DOI: 10.5753/kdmile.2022.227949
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; RECONHECIMENTO DE TEXTO; APRENDIZADO COMPUTACIONAL
- Keywords: Legal documents; Named Entity Recognition; Segmentation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2022
- Source:
- Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SILVA, Felipe X. Barbosa da et al. Named Entity Recognition approaches applied to legal document segmentation. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/kdmile.2022.227949. Acesso em: 31 mar. 2026. -
APA
Silva, F. X. B. da, Guimarães, G. M. C., Marcacini, R. M., Queiroz, A. L., Borges, V. R. P., Faleiros, T. de P., & Garcia, L. P. F. (2022). Named Entity Recognition approaches applied to legal document segmentation. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2022.227949 -
NLM
Silva FXB da, Guimarães GMC, Marcacini RM, Queiroz AL, Borges VRP, Faleiros T de P, Garcia LPF. Named Entity Recognition approaches applied to legal document segmentation [Internet]. Anais. 2022 ;[citado 2026 mar. 31 ] Available from: https://doi.org/10.5753/kdmile.2022.227949 -
Vancouver
Silva FXB da, Guimarães GMC, Marcacini RM, Queiroz AL, Borges VRP, Faleiros T de P, Garcia LPF. Named Entity Recognition approaches applied to legal document segmentation [Internet]. Anais. 2022 ;[citado 2026 mar. 31 ] Available from: https://doi.org/10.5753/kdmile.2022.227949 - Complaint analysis in fintech domain: a case study in Brazilian brokerage firms
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