Evaluating state-of-the-art extractive summarization methods for brazilian portuguese (2025)
Jorge, Germano Antonio Zani; Bezerra, Davi Alves 
; Castell, Clarissa; Pardo, Thiago Alexandre Salgueiro
Fonte: Lecture Notes in Computer Science. Nome do evento: Ibero-American Conference on Artificial Intelligence - IBERAMIA. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
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JORGE, Germano Antonio Zani et al. Evaluating state-of-the-art extractive summarization methods for brazilian portuguese. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-80366-6. Acesso em: 08 out. 2025. , 2025APA
Jorge, G. A. Z., Bezerra, D. A., Castell, C., & Pardo, T. A. S. (2025). Evaluating state-of-the-art extractive summarization methods for brazilian portuguese. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-80366-6NLM
Jorge GAZ, Bezerra DA, Castell C, Pardo TAS. Evaluating state-of-the-art extractive summarization methods for brazilian portuguese [Internet]. Lecture Notes in Computer Science. 2025 ; 15277 510-514.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/978-3-031-80366-6Vancouver
Jorge GAZ, Bezerra DA, Castell C, Pardo TAS. Evaluating state-of-the-art extractive summarization methods for brazilian portuguese [Internet]. Lecture Notes in Computer Science. 2025 ; 15277 510-514.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/978-3-031-80366-6
