Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese (2025)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; JORGE, GERMANO ANTÔNIO ZANI - ICMC ; BEZERRA, DAVI ALVES - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-79032-4_15
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; PORTUGUÊS DO BRASIL; LÍNGUA INGLESA
- Keywords: Extractive Summarization; Multilinguality; Natural Language Processing
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 15413, p. 212-223, 2025
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este artigo NÃO possui versão em acesso aberto
-
Status: Nenhuma versão em acesso aberto identificada -
ABNT
JORGE, Germano Antonio Zani et al. Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_15. Acesso em: 14 mar. 2026. , 2025 -
APA
Jorge, G. A. Z., Bezerra, D. A., Xavier, C. C., & Pardo, T. A. S. (2025). Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79032-4_15 -
NLM
Jorge GAZ, Bezerra DA, Xavier CC, Pardo TAS. Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 212-223.[citado 2026 mar. 14 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_15 -
Vancouver
Jorge GAZ, Bezerra DA, Xavier CC, Pardo TAS. Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15413 212-223.[citado 2026 mar. 14 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_15 - Evaluating state-of-the-art extractive summarization methods for brazilian portuguese
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