Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/32556
Title: Multi-document summarization using semantic discourse models
Other Titles: Resumen multidocumento utilizando teorías semántico-discursivas
Keywords: Resumen multidocumento
Cross-document structure theory
Rhetorical structure theory
Multi-document summarization
Teoria da estrutura de documentos cruzados
Teoria da estrutura retórica
Resumo de vários documentos
Issue Date: Mar-2016
Publisher: Sociedad Española para el Procesamiento del Lenguaje Natural
Citation: CARDOSO, P. C. F.; PARDO, T. A. S. Multi-document summarization using semantic discourse models. Procesamiento de Lenguaje Natural, [S. l.], n. 56, p. 57-64, marzo 2016.
Abstract: Automatic multi-document summarization aims at reducing the size of texts while preserving the important content. In this paper, we propose some methods for automatic summarization based on two semantic discourse models: Rhetorical Structure Theory (RST) and Cross-document Structure Theory (CST). These models are chosen in order to properly address the relevance of information, multi-document phenomena and subtopical distribution in the source texts. The results show that using semantic discourse knowledge for content selection improve the informativeness of automatic summaries.
URI: http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/5287
http://repositorio.ufla.br/jspui/handle/1/32556
Appears in Collections:DCC - Artigos publicados em periódicos

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