The successful application of natural language processing for information retrieval

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/2524
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dc.contributorProcesamiento del Lenguaje Natural y Sistemas de Informaciónen
dc.contributor.authorFerrández, Antonio-
dc.contributor.authorRojas Hernández, Yenory-
dc.contributor.authorPeral, Jesús-
dc.contributor.otherUniversidad de Alicante. Departamento de Lenguajes y Sistemas Informáticosen
dc.date.accessioned2007-10-28T09:49:22Z-
dc.date.available2007-10-28T09:49:22Z-
dc.date.created2007-
dc.date.issued2007-03-
dc.identifier.citationFERRÁNDEZ RODRÍGUEZ, Antonio; ROJAS HERNÁNDEZ, Yenory; PERAL CORTÉS, Jesús. "The successful application of natural language processing for information retrieval". Journal of Computer Science & Technology. Vol. 7, No. 1 (March 2007). ISSN 1666-6038, pp. 79-85en
dc.identifier.issn1666-6038-
dc.identifier.urihttp://hdl.handle.net/10045/2524-
dc.description.abstractIn this paper, a novel model for monolingual Information Retrieval in English and Spanish language is proposed. This model uses Natural Language Processing techniques (a POS-tagger, a Partial Parser, and an Anaphora Resolver) in order to improve the precision of traditional IR systems, by means of indexing the “entities” and the “relations” between these entities in the documents. This model is evaluated on both the Spanish and English CLEF corpora. For the English queries, there is a maximum increase of 35.11% in the average precision. For the Spanish queries, the maximum increase is 37.18%.en
dc.languageengen
dc.publisherIberoamerican Science & Technology Education Consortiumen
dc.subjectInformation retrievalen
dc.subjectCLEFen
dc.subjectNatural language processingen
dc.subjectEntityen
dc.subjectAnaphora resolutionen
dc.subject.otherLenguajes y Sistemas Informáticosen
dc.titleThe successful application of natural language processing for information retrievalen
dc.typeinfo:eu-repo/semantics/articleen
dc.peerreviewedsien
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
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