Structure of morphologically expanded queries : a genetic algorithm approach

Araujo, Lourdes, Zaragoza, Hugo, Pérez-Agüera, Jose R. y Pérez-Iglesias, Joaquín(2009) .Structure of morphologically expanded queries : a genetic algorithm approach. .En: . ()

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Titulo Structure of morphologically expanded queries : a genetic algorithm approach
Autor(es) Araujo, Lourdes
Zaragoza, Hugo
Pérez-Agüera, Jose R.
Pérez-Iglesias, Joaquín
Materia(s) Informática
Resumen In this paper we deal with two issues. First, we discuss the negative effects of term correlation in query expansion algorithms, and we propose a novel and simple method (query clauses) to represent expanded queries which may alleviate some of these negative effects. Second, we discuss a method to optimize local query-expansion methods using genetic algorithms, and we apply this method to improve stemming. We evaluate this method with the novel query representation method and show very significant improvements for the problem of stemming optimization.
Palabra clave information retrieval
query reformulation
genetic algorithms
Editor(es) Elsevier
Fecha 2009-10-13
Formato application/pdf
Identificador http://e-spacio.uned.es/fez/view/bibliuned:DptoLSI-ETSI-MA2VICMR-1075
bibliuned:DptoLSI-ETSI-MA2VICMR-1075
Idioma eng
Fuente Data and Knowledge Engineering (69), 2010, pp.279–289. ISSN: 0169-023X, ESSN: 1872-6933. doi:10.1016/j.datak.2009.10.010
Versión de la publicación publishedVersion
Relacionado con el proyecto: info:eu-repo/grantAgreement/S2009/TIC-1542
Nivel de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de recurso Article
Tipo de acceso Acceso abierto

 
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Creado: Tue, 25 Nov 2014, 15:19:27 CET