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- W1567709154 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 thedocuments. This model is evaluated on 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%" @default.
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- W1567709154 date "2005-03-01" @default.
- W1567709154 modified "2023-10-16" @default.
- W1567709154 title "Aplicación del Procesamiento de Lenguaje Natural en la Recuperación de Información." @default.
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