IR-n in the CLEF Robust WSD Task 2008
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.
KeywordsRelevance Feedback Query Expansion Word Sense Disambiguation Polysemous Word Pseudo Relevance Feedback
Unable to display preview. Download preview PDF.
- 1.Agirre, E., Di Nunzio, G.M., Ferro, N., Mandl, T., Peters, C.: CLEF 2008: Ad Hoc track overview. In: Peters, C., et al. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 15–37. Springer, Heidelberg (2009)Google Scholar
- 2.Llopis, F.: IR-n: Un Sistema de Recuperacin de Informacin Basado en Pasajes. PhD thesis, University of Alicante (2003)Google Scholar