Named Entity Recognition approaches applied to legal document segmentation (2022)
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL
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: 13 nov. 2025.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.2022.227949NLM
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 2025 nov. 13 ] Available from: https://doi.org/10.5753/kdmile.2022.227949Vancouver
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 2025 nov. 13 ] Available from: https://doi.org/10.5753/kdmile.2022.227949
