The successful application of natural language processing for information retrieval

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 in...

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Detalles Bibliográficos
Autores principales:	Ferrández, Antonio, Rojas, Yenory, Peral, Jesús
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2007
Materias:	Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento de Lenguaje Natural
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9532 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-13.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-9532
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento de Lenguaje Natural
spellingShingle	Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento de Lenguaje Natural Ferrández, Antonio Rojas, Yenory Peral, Jesús The successful application of natural language processing for information retrieval
topic_facet	Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento de Lenguaje Natural
description	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%.
format	Articulo Articulo
author	Ferrández, Antonio Rojas, Yenory Peral, Jesús
author_facet	Ferrández, Antonio Rojas, Yenory Peral, Jesús
author_sort	Ferrández, Antonio
title	The successful application of natural language processing for information retrieval
title_short	The successful application of natural language processing for information retrieval
title_full	The successful application of natural language processing for information retrieval
title_fullStr	The successful application of natural language processing for information retrieval
title_full_unstemmed	The successful application of natural language processing for information retrieval
title_sort	successful application of natural language processing for information retrieval
publishDate	2007
url	http://sedici.unlp.edu.ar/handle/10915/9532 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-13.pdf
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The successful application of natural language processing for information retrieval

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