Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorPaiola, Pedro H.-
Autor(es): dc.creatorde Rosa, Gustavo H.-
Autor(es): dc.creatorPapa, João P.-
Data de aceite: dc.date.accessioned2025-08-21T17:09:29Z-
Data de disponibilização: dc.date.available2025-08-21T17:09:29Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-031-21689-3_34-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/249521-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/249521-
Descrição: dc.descriptionAutomatic summarization captures the most relevant information and condenses it into an understandable text in natural language. Such a task can be classified as either extractive or abstractive summarization. Research on Brazilian Portuguese-based abstractive summarization is still scarce. This work explores abstractive summarization in Portuguese-based texts using a deep learning-based approach. The results are relatively satisfactory considering the ROUGE measurements and the quality of the generated summaries. Still, there are some problems regarding coherence, readability, and grammar. We strongly believe they are linked to the inherent complexity of generating an abstract and the degradation of text quality by the translation steps. These results should be seen as preliminary, serving as a basis for future research.-
Descrição: dc.descriptionDepartment of Computing São Paulo State University, SP-
Descrição: dc.descriptionDepartment of Computing São Paulo State University, SP-
Formato: dc.format479-493-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAbstractive summarization-
Palavras-chave: dc.subjectBrazilian Portuguese-
Palavras-chave: dc.subjectMachine learning-
Palavras-chave: dc.subjectNatural language processing-
Palavras-chave: dc.subjectSummarization-
Título: dc.titleDeep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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