Predicting judicial outcomes in the Brazilian legal system using textual features (2020)
Source: Proceedings. Conference titles: Workshop on Digital Humanities and Natural Language Processing - DHandNLP 2020. Unidade: FFCLRP
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, INTELIGÊNCIA ARTIFICIAL, LEI
ABNT
BERTALAN, Vithor Gomes Ferreira e RUIZ, Evandro Eduardo Seron. Predicting judicial outcomes in the Brazilian legal system using textual features. 2020, Anais.. Aachen: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2020. Disponível em: http://ceur-ws.org/Vol-2607/paper3.pdf. Acesso em: 20 ago. 2024.APA
Bertalan, V. G. F., & Ruiz, E. E. S. (2020). Predicting judicial outcomes in the Brazilian legal system using textual features. In Proceedings. Aachen: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Recuperado de http://ceur-ws.org/Vol-2607/paper3.pdfNLM
Bertalan VGF, Ruiz EES. Predicting judicial outcomes in the Brazilian legal system using textual features [Internet]. Proceedings. 2020 ;[citado 2024 ago. 20 ] Available from: http://ceur-ws.org/Vol-2607/paper3.pdfVancouver
Bertalan VGF, Ruiz EES. Predicting judicial outcomes in the Brazilian legal system using textual features [Internet]. Proceedings. 2020 ;[citado 2024 ago. 20 ] Available from: http://ceur-ws.org/Vol-2607/paper3.pdf