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dc.date.accessioned 2008-05-21T20:41:26Z
dc.date.available 2008-05-21T03:00:00Z
dc.date.issued 2007-04
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9532
dc.description.abstract In this paper, a novel model for monolingual Information Retrieval in English and Spanish language is proposed. This model uses Natural Language Processing techniques (a POStagger, 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.format.extent 79-85 es
dc.language en es
dc.subject Almacenamiento y Recuperación de la Información es
dc.subject Procesamiento de Lenguaje Natural es
dc.title The successful application of natural language processing for information retrieval en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-13.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Ferrández, Antonio es
sedici.creator.person Rojas, Yenory es
sedici.creator.person Peral, Jesús es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000581 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 7, no. 1 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)