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The successful application of natural language processing for information retrieval

Ferrández, Antonio et al · SEDICI UNLP · 2007

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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%. Facultad de Informática

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APA 7

Ferrández, A. E. A. (2007). The successful application of natural language processing for information retrieval. http://sedici.unlp.edu.ar/handle/10915/9532

MLA

Ferrández, Antonio et al. "The successful application of natural language processing for information retrieval." 2007. http://sedici.unlp.edu.ar/handle/10915/9532.

Chicago

Ferrández, Antonio et al. 2007. "The successful application of natural language processing for information retrieval.". http://sedici.unlp.edu.ar/handle/10915/9532.

Harvard

Ferrández, A. E. A. 2007, The successful application of natural language processing for information retrieval, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/9532 [Accessed 6 Aug. 2026].

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Title
The successful application of natural language processing for information retrieval
Author / contributors
Ferrández, Antonio et al
Publisher
SEDICI UNLP
Publication year
2007
Language
English

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