Exploratory study of data sampling methods for imbalanced legal text classification (2023)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; FREIRE, DANIELA LOPES - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-40725-3_10
- Subjects: APRENDIZADO COMPUTACIONAL; PROCESSAMENTO DE LINGUAGEM NATURAL; TRIBUNAL DE JUSTIÇA
- Keywords: Text classification; Data sampling; Imbalanced data; Natural language processing
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 14001, p. 108-120, 2023
- Conference titles: International Conference on Hybrid Artificial Intelligence Systems - HAIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FREIRE, Daniela Lopes et al. Exploratory study of data sampling methods for imbalanced legal text classification. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-40725-3_10. Acesso em: 28 dez. 2025. , 2023 -
APA
Freire, D. L., Almeida, A. M. de, Dias, M. de S., Rivolli, A., Pereira, F. S. F., Godoi, G. A. de, & Carvalho, A. C. P. de L. F. de. (2023). Exploratory study of data sampling methods for imbalanced legal text classification. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-40725-3_10 -
NLM
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Exploratory study of data sampling methods for imbalanced legal text classification [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 108-120.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_10 -
Vancouver
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Exploratory study of data sampling methods for imbalanced legal text classification [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14001 108-120.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-031-40725-3_10 - LegalSum: towards tool for evaluation for extractive summarization of brazilian lawsuits
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Informações sobre o DOI: 10.1007/978-3-031-40725-3_10 (Fonte: oaDOI API)
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