Legal document segmentation and labeling through named entity recognition approaches (2024)
Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS
ABNT
GUIMARÃES, Gabriel Mendes Ciriatico et al. Legal document segmentation and labeling through named entity recognition approaches. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 123-131, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3368. Acesso em: 02 nov. 2024.APA
Guimarães, G. M. C., Silva, F. X. B. da, Macêdo, L. de A. B., Lisboa, V. H. F., Marcacini, R. M., Queiroz, A. L., et al. (2024). Legal document segmentation and labeling through named entity recognition approaches. Journal of Information and Data Management - JIDM, 15( 1), 123-131. doi:10.5753/jidm.2024.3368NLM
Guimarães GMC, Silva FXB da, Macêdo L de AB, Lisboa VHF, Marcacini RM, Queiroz AL, Borges VRP, Faleiros T de P, Garcia LPF. Legal document segmentation and labeling through named entity recognition approaches [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 123-131.[citado 2024 nov. 02 ] Available from: https://doi.org/10.5753/jidm.2024.3368Vancouver
Guimarães GMC, Silva FXB da, Macêdo L de AB, Lisboa VHF, Marcacini RM, Queiroz AL, Borges VRP, Faleiros T de P, Garcia LPF. Legal document segmentation and labeling through named entity recognition approaches [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 123-131.[citado 2024 nov. 02 ] Available from: https://doi.org/10.5753/jidm.2024.3368