Abstract
For UFRGS’s participation on CLEF’s Robust task, our aim was to compare retrieval of plain documents to retrieval using information on word senses. The experimental runs which used word- sense disambiguation (WSD) consisted in indexing the synset codes of the senses which had scores higher than a predefined threshold. Several thresholds were tested. Our results have shown that the best WSD runs did not present a significant improvement in relation to the baseline run in which plain documents were used. In addition, a comparison between two alternative disambiguation systems has shown that one outperforms the other in all experimental runs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Agirre, E., Lacalle, O.L.: UBC-ALM: Combining k-NN with SVD for WSD. In: SemEval 2007: Proceedings of the 4th International Workshop on Semantic Evaluations, Prague, pp. 342–345 (2007)
Chan, Y.S., Ng, H.T., Zhong, Z.: NUS-PT: exploiting parallel texts for word sense disambiguation in the English all-words tasks. In: Proceedings of the 4th International Workshop on Semantic Evaluations. Association for Computational Linguistics, Prague (2007)
Gonzalo, J., Verdejo, F., Chugur, I., Cigarrán, J.: Indexing with WordNet synsets can improve text retrieval. In: Proceedings of the COLING/ACL Workshop on usage of WorNet for NLP, Montreal, Canada, pp. 38–44 (1998)
Krovetz, R., Croft, W.B.: Lexical Ambiguity and Information Retrieval. ACM Transactions on Information Systems, TOIS (1992)
Sanderson, M.: Word Sense Disambiguation & Information Retrieval. In: Proceedings of the 17th International ACM SIGIR, Dublin, Ireland, pp. 49–57 (1994)
Stokoe, C., Oakes, M.P., Tait, J.: Word Sense Disambiguation in Information Retrieval Revisited. In: Proceedings of ACM SIGIR 2003, Toronto, Canada, pp. 159–166 (2003)
Weiss, S.F.: Learning to disambiguate. Information Storage and Retrieval 9, 33–41 (1973)
Zettair, (2007) www.seg.rmit.edu.au/zettair/ (retrieved 11/06/07)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Borges, T.B., Moreira, V.P. (2010). UFRGS@CLEF2009: Retrieval by Numbers. In: Peters, C., et al. Multilingual Information Access Evaluation I. Text Retrieval Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15754-7_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-15754-7_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15753-0
Online ISBN: 978-3-642-15754-7
eBook Packages: Computer ScienceComputer Science (R0)