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Erschienen in:
2009 | OriginalPaper | Buchkapitel
IR-n in the CLEF Robust WSD Task 2008
verfasst von : Sergio Navarro, Fernando Llopis, Rafael Muñoz
Erschienen in: Evaluating Systems for Multilingual and Multimodal Information Access
Verlag: Springer Berlin Heidelberg
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In our approach to the Robust WSD task we have used a passage based system jointly with a WordNet and WSD based term expansion for the documents and queries. Furthermore, we have experimented with two well known relevance feedback methods - LCA and PRF -, in order to figure out which is more suitable to take profit of the WSD query expansion based on Wordnet. Our best run has obtained a 4th - 0.4008 MAP -. A major finding is that LCA fits better than PRF to this task due to it is able to take advantage of the expanded documents and queries.