Tackling redundancy in text summarization through different levels of language analysis
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Título: | Tackling redundancy in text summarization through different levels of language analysis |
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Autor/es: | Lloret, Elena | Palomar, Manuel |
Grupo/s de investigación o GITE: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Text summarization | Redundancy detection | Natural language processing | Information access |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | sep-2013 |
Editor: | Elsevier |
Cita bibliográfica: | Computer Standards & Interfaces. 2013, 35(5): 507-518. doi:10.1016/j.csi.2012.08.001 |
Resumen: | One of the main challenges to be addressed in text summarization concerns the detection of redundant information. This paper presents a detailed analysis of three methods for achieving such goal. The proposed methods rely on different levels of language analysis: lexical, syntactic and semantic. Moreover, they are also analyzed for detecting relevance in texts. The results show that semantic-based methods are able to detect up to 90% of redundancy, compared to only the 19% of lexical-based ones. This is also reflected in the quality of the generated summaries, obtaining better summaries when employing syntactic- or semantic-based approaches to remove redundancy. |
Patrocinador/es: | This research has been funded by the Spanish Government under the project TEXT-MESS 2.0 (TIN2009-13391-C04-01). Moreover, it has been also supported by Conselleria d'Educació —Generalitat Valenciana (grant no. PROMETEO/2009/119 and ACOMP/2010/286). |
URI: | http://hdl.handle.net/10045/40116 |
ISSN: | 0920-5489 (Print) | 1872-7018 (Online) |
DOI: | 10.1016/j.csi.2012.08.001 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1016/j.csi.2012.08.001 |
Aparece en las colecciones: | INV - GPLSI - Artículos de Revistas |
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2013_Lloret_Pastor_CS&I_final.pdf | Versión final (acceso restringido) | 1,25 MB | Adobe PDF | Abrir Solicitar una copia |
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