Albuquerque, Hidelberg Oliveira 
; Souza, Ellen Polliana Ramos ; Oliveira, Adriano Lorena Inacio de ; Macêdo, David ; Zanchettin, Cleber ; Vitório, Douglas ; Silva, Nádia Felix Felipe da ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Conference on Artificial Intelligence - EPIA. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, RECUPERAÇÃO DA INFORMAÇÃO, PORTUGUÊS DO BRASIL
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ALBUQUERQUE, Hidelberg Oliveira et al. On the assessment of deep learning models for named entity recognition of brazilian legal documents. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-49011-8_8. Acesso em: 08 out. 2025. , 2023APA
Albuquerque, H. O., Souza, E. P. R., Oliveira, A. L. I. de, Macêdo, D., Zanchettin, C., Vitório, D., et al. (2023). On the assessment of deep learning models for named entity recognition of brazilian legal documents. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-49011-8_8NLM
Albuquerque HO, Souza EPR, Oliveira ALI de, Macêdo D, Zanchettin C, Vitório D, Silva NFF da, Carvalho ACP de LF de. On the assessment of deep learning models for named entity recognition of brazilian legal documents [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14116 93-104.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/978-3-031-49011-8_8Vancouver
Albuquerque HO, Souza EPR, Oliveira ALI de, Macêdo D, Zanchettin C, Vitório D, Silva NFF da, Carvalho ACP de LF de. On the assessment of deep learning models for named entity recognition of brazilian legal documents [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14116 93-104.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/978-3-031-49011-8_8
