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CLEF
2004
Springer

Application of Variable Length N-Gram Vectors to Monolingual and Bilingual Information Retrieval

10 years 9 months ago
Application of Variable Length N-Gram Vectors to Monolingual and Bilingual Information Retrieval
Our group in the Department of Informatics at the University of Oviedo has participated, for the first time, in two tasks at CLEF: monolingual (Russian) and bilingual (Spanish-to-English) information retrieval. Our main goal was to test the application to IR of a modified version of the n-gram vector space model (codenamed blindLight). This new approach has been successfully applied to other NLP tasks such as language identification or text summarization and the results achieved at CLEF 2004, although not exceptional, are encouraging. There are two major differences between the blindLight approach and classical techniques: (1) relative frequencies are no longer used as vector weights but are replaced by n-gram significances, and (2) cosine distance is abandoned in favor of a new metric inspired by sequence alignment techniques, not so computationally expensive. In order to perform cross-language IR we have developed a naive n-gram pseudo-translator similar to those described by McNamee...
Daniel Gayo-Avello, Darío Álvarez Gu
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where CLEF
Authors Daniel Gayo-Avello, Darío Álvarez Gutiérrez, José Gayo-Avello
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