IR-n in the CLEF robust WSD task 2008

Authors:
Sergio Navarro;Fernando Llopis;Rafael Muñoz
Affiliations:
Natural Language Processing and Information Systems Group, University of Alicante, Spain;Natural Language Processing and Information Systems Group, University of Alicante, Spain;Natural Language Processing and Information Systems Group, University of Alicante, Spain
Venue:
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Year:
2008

Citing 2
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Abstract

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.