Evaluating state-of-the-art extractive summarization methods for brazilian portuguese (2025)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; JORGE, GERMANO ANTÔNIO ZANI - ICMC ; BEZERRA, DAVI ALVES - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-80366-6
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; PORTUGUÊS DO BRASIL
- Keywords: Extractive Summarization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 15277, p. 510-514, 2025
- Conference titles: Ibero-American Conference on Artificial Intelligence - IBERAMIA
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
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: 09 fev. 2026. , 2025 -
APA
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:10.1007/978-3-031-80366-6 -
NLM
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 2026 fev. 09 ] Available from: https://doi.org/10.1007/978-3-031-80366-6 -
Vancouver
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 2026 fev. 09 ] Available from: https://doi.org/10.1007/978-3-031-80366-6 - Multilingual extractive summarization: investigating state-of-the-art methods for english and brazilian portuguese
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- Rearrangement and creation of new corpora for update and compressive summarization tasks for portuguese language
- Semi-supervised never-ending learning in rhetorical relation identification
- Update summarization: building from scratch for Portuguese and comparing to English
- Hierarchical clustering of aspects for opinion mining: a corpus study
- Multi-document summarization using semantic discourse models
Informações sobre o DOI: 10.1007/978-3-031-80366-6 (Fonte: oaDOI API)
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