Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification (2025)
- Authors:
- Autor USP: PONCIANO, JEAN ROBERTO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10506-025-09458-6
- Subjects: APRENDIZAGEM PROFUNDA; PROCESSAMENTO DE LINGUAGEM NATURAL; RECUPERAÇÃO DA INFORMAÇÃO; SÚMULA VINCULANTE; TRIBUNAL SUPREMO
- Keywords: Case classification; Similar case retrieval; Binding precedents; Judicial efficiency; Brazilian supreme court
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Artificial Intelligence and Law
- ISSN: 0924-8463
- Volume/Número/Paginação/Ano: In press
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
TINARRAGE, Raphaël et al. Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification. Artificial Intelligence and Law, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10506-025-09458-6. Acesso em: 27 dez. 2025. -
APA
Tinarrage, R., Ennes, H., Resck, L., Gomes, L. T., Ponciano, J. R., & Poco, J. (2025). Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification. Artificial Intelligence and Law. doi:10.1007/s10506-025-09458-6 -
NLM
Tinarrage R, Ennes H, Resck L, Gomes LT, Ponciano JR, Poco J. Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification [Internet]. Artificial Intelligence and Law. 2025 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/s10506-025-09458-6 -
Vancouver
Tinarrage R, Ennes H, Resck L, Gomes LT, Ponciano JR, Poco J. Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification [Internet]. Artificial Intelligence and Law. 2025 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/s10506-025-09458-6 - Visualizing communities in dynamic multivariate networks
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Informações sobre o DOI: 10.1007/s10506-025-09458-6 (Fonte: oaDOI API)
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