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. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Martínez-Santiago, F., Perea-Ortega, J. M., & García-Cumbreras, M. A. (2009). Evaluating Word Sense Disambiguation Tools for Information Retrieval Task. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5706 LNCS, pp. 113–117). https://doi.org/10.1007/978-3-642-04447-2_13
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