The Successful Application of Natural Language Processing for Information Retrieval
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Redalyc
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de La Plata
2007
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| _version_ | 1876491370368073728 |
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| author | Antonio Ferrández |
| author_facet | Antonio Ferrández |
| contents | The Successful Application of Natural Language Processing for Information Retrieval Antonio Ferrández Yenory Rojas Jesús Peral Computación CLEF Entity anaphora resolution Information Retrieval Natural Language Processing 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%. 2007 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067340010 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.01 Vol.7 |
| format | Artículo científico |
| id | redalyc_638067340010 |
| institution | Redalyc |
| language | en |
| publishDate | 2007 |
| publisher | Universidad Nacional de La Plata |
| spellingShingle | The Successful Application of Natural Language Processing for Information Retrieval Antonio Ferrández Computación CLEF Entity anaphora resolution Information Retrieval Natural Language Processing The Successful Application of Natural Language Processing for Information Retrieval Antonio Ferrández Yenory Rojas Jesús Peral Computación CLEF Entity anaphora resolution Information Retrieval Natural Language Processing 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%. 2007 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067340010 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.01 Vol.7 |
| title | The Successful Application of Natural Language Processing for Information Retrieval |
| topic | Computación CLEF Entity anaphora resolution Information Retrieval Natural Language Processing |
| url | https://www.redalyc.org/articulo.oa?id=638067340010 |