Abstract
The main interest of this paper is the characterization of queries where WSD is a useful tool. That is, which issues must be fulfilled by a query in order to apply an state-of-art WSD tool? In addition, we have evaluated several approaches in order to apply WSD. We have used several types of indices. Thus, we have generated 13 indices and we have carried out 39 different experiments, obtaining that some indices based on WSD tools even outperforms slightly the non disambiguated baseline case. After the interpretation of our experiments, we think that only queries with terms very polysemous and very high IDF value are improved by using WSD.
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Martínez-Santiago, F., Perea-Ortega, J.M., García-Cumbreras, M.A. (2009). Evaluating Word Sense Disambiguation Tools for Information Retrieval Task. 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_13
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DOI: https://doi.org/10.1007/978-3-642-04447-2_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04446-5
Online ISBN: 978-3-642-04447-2
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