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A new hybrid summarizer based on vector Space model, statistical physics and linguistics

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dc.contributor.author da Cunha Fanego, Iria
dc.contributor.author Fernández, Silvia
dc.contributor.author Velázquez Morales, Patricia
dc.contributor.author Vivaldi, J. (Jorge), 1952-
dc.contributor.author SanJuan, Eric
dc.contributor.author Torres Moreno, Juan Manuel
dc.contributor.other Universitat Pompeu Fabra
dc.date.accessioned 2012-02-14T11:16:55Z
dc.date.available 2012-02-14T11:16:55Z
dc.date.issued 2007
dc.identifier.citation Da Cunha I, Fernández S, Velázquez P, Vivaldi J, SanJuan E, Torres-Moreno, J M. A new hybrid summarizer based on vector Space model, statistical physics and linguistics. In: Gelbukh A, Kuri A F, editors. MICAI 2007. Advances in artificial intelligence. Proceedings of the 6th Mexican International Conference on Artificial Intelligence. 2007 Nov 4-10; Aguascalientes, Mexico. Berlin: Springer; 2007. p. 872-882
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10230/16226
dc.description.abstract In this article we present a hybrid approach for automatic summarization of Spanish medical texts. There are a lot of systems for automatic summarization using statistics or linguistics, but only a few of them combining both techniques. Our idea is that to reach a good summary we need to use linguistic aspects of texts, but as well we should benefit of the advantages of statistical techniques. We have integrated the Cortex (Vector Space Model) and Enertex (statistical physics) systems coupled with the Yate term extractor, and the Disicosum system (linguistics). We have compared these systems and afterwards we have integrated them in a hybrid approach. Finally, we have applied this hybrid system over a corpora of medical articles and we have evaluated their performances obtaining good results.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence ; 4827
dc.rights © Springer-Verlag Berlin Heidelberg 2007.
dc.subject.other Anàlisi automàtica (Lingüística) -- Congressos
dc.title A new hybrid summarizer based on vector Space model, statistical physics and linguistics
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1007/978-3-540-76631-5_83
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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