Use este identificador para citar ou linkar para este item: https://repository.ufrpe.br/handle/123456789/5615
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Campo DCValorIdioma
dc.contributor.advisorLima, Rinaldo José de-
dc.contributor.authorSilva, Pedro Assis Xavier-
dc.date.accessioned2024-02-15T16:03:31Z-
dc.date.available2024-02-15T16:03:31Z-
dc.date.issued2021-
dc.identifier.citationSILVA, Pedro Assis Xavier. An AMR-based extractive summarization method for cohesive summaries. 2021. 9 f. Trabalho de Conclusão de Curso (Bacharelado em Ciência da Computação) – Departamento de Computação, Universidade Federal Rural de Pernambuco, Recife, 2021.pt_BR
dc.identifier.urihttps://repository.ufrpe.br/handle/123456789/5615-
dc.description.abstractThe main goal of automatic text summarization is condensing the original text into a shorter version, preserving the information content and general meaning. The extractive summarization, one of the main approaches for automatic text summarization, consists to select the most relevant sentences of a document, and generate a summary. This paper proposes a new mono-document extractive summarization method using a semantic representation of the sentence of a document expressed in AMR (Abstract Meaning Representation). In this method, AMR semantic representation is used to capture the most important concepts of each sentence (in core semantic terms), and a concept-based Integer Linear Programming (ILP) approach to select the most informative sentences improving both relevance and text cohesion of the summary. Two datasets proposed by DUC (2001 and 2002) were used to evaluate the effectiveness of our method on extrative summarirazion and commparing it with other state-of-the-art summary systems.pt_BR
dc.format.extent9 f.pt_BR
dc.language.isoenpt_BR
dc.rightsopenAccesspt_BR
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.pt-brpt_BR
dc.subjectLinguagem de programação (Computadores)pt_BR
dc.subjectComputação semânticapt_BR
dc.subjectAbstract Meaning Representation (AMR)pt_BR
dc.subjectSummarizationpt_BR
dc.titleAn AMR-based extractive summarization method for cohesive summariespt_BR
dc.typebachelorThesispt_BR
dc.rights.licenseAtribuição 4.0 Internacionalpt_BR
dc.contributor.authorLatteshttp://lattes.cnpq.br/0509757461700562pt_BR
dc.contributor.advisorLatteshttp://lattes.cnpq.br/7645118086647340pt_BR
dc.contributor.advisor-coEspinasse, Bernard-
dc.degree.levelGraduacaopt_BR
dc.publisher.countryBrasilpt_BR
dc.degree.localRecifept_BR
dc.degree.grantorUniversidade Federal Rural de Pernambucopt_BR
dc.degree.graduationBacharelado em Ciências da Computaçãopt_BR
dc.degree.departamentDepartamento de Computaçãopt_BR
Aparece nas coleções:TCC - Bacharelado em Ciência da Computação (Sede)

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