Threshold-based classification to enhance confidence in open set of legal texts (2023)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; FREIRE, DANIELA LOPES - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-48232-8_25
- Subjects: APRENDIZADO COMPUTACIONAL; PROCESSAMENTO DE LINGUAGEM NATURAL; RECONHECIMENTO DE TEXTO
- Keywords: Text classification; Open Set Classification; Threshold-based Classification; Multiclass dataset
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 14404, p. 269-280, 2023
- Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FREIRE, Daniela Lopes et al. Threshold-based classification to enhance confidence in open set of legal texts. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-48232-8_25. Acesso em: 24 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). Threshold-based classification to enhance confidence in open set of legal texts. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-48232-8_25 -
NLM
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Threshold-based classification to enhance confidence in open set of legal texts [Internet]. Lecture Notes in Computer Science. 2023 ; 14404 269-280.[citado 2025 dez. 24 ] Available from: https://doi.org/10.1007/978-3-031-48232-8_25 -
Vancouver
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Threshold-based classification to enhance confidence in open set of legal texts [Internet]. Lecture Notes in Computer Science. 2023 ; 14404 269-280.[citado 2025 dez. 24 ] Available from: https://doi.org/10.1007/978-3-031-48232-8_25 - LegalSum: towards tool for evaluation for extractive summarization of brazilian lawsuits
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Informações sobre o DOI: 10.1007/978-3-031-48232-8_25 (Fonte: oaDOI API)
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