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Analysis of Word Sense Disambiguation-Based Information Retrieval

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Evaluating Systems for Multilingual and Multimodal Information Access (CLEF 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5706))

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Abstract

Several studies have tried to improve retrieval performances based on automatic Word Sense Disambiguation techniques. So far, most attempts have failed. We try, through this paper, to give a deep analysis of the reasons behind these failures. During our participation at the Robust WSD task at CLEF 2008, we performed experiments on monolingual (English) and bilingual (Spanish to English) collections. Our official results and a deep analysis are described below, along with our conclusions and perspectives.

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Guyot, J., Falquet, G., Radhouani, S., Benzineb, K. (2009). Analysis of Word Sense Disambiguation-Based Information Retrieval. In: Peters, C., et al. Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04447-2_18

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  • DOI: https://doi.org/10.1007/978-3-642-04447-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04446-5

  • Online ISBN: 978-3-642-04447-2

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