To answer or not to answer?: filtering questions for QA Systems (2022)
Fonte: Lecture Notes in Computer Science. Nome do evento: Brazilian Conference Intelligent Systems - BRACIS 2022. Unidades: EP, EACH, IEA
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, COMPUTAÇÃO APLICADA
ABNT
PIROZELLI, Paulo et al. To answer or not to answer?: filtering questions for QA Systems. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-21689-3_33. Acesso em: 02 out. 2024. , 2022APA
Pirozelli, P., Brandão, A. A. F., Peres, S. M., & Cozman, F. G. (2022). To answer or not to answer?: filtering questions for QA Systems. Lecture Notes in Computer Science. Cham: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-21689-3_33NLM
Pirozelli P, Brandão AAF, Peres SM, Cozman FG. To answer or not to answer?: filtering questions for QA Systems [Internet]. Lecture Notes in Computer Science. 2022 ; 13654 464-478.[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_33Vancouver
Pirozelli P, Brandão AAF, Peres SM, Cozman FG. To answer or not to answer?: filtering questions for QA Systems [Internet]. Lecture Notes in Computer Science. 2022 ; 13654 464-478.[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/978-3-031-21689-3_33