Abstract
The paper describes our participation in the Monolingual tasks at CLEF 2007. We submitted results for the following languages: Hungarian, Bulgarian and Czech. We focused on studying different query expansion techniques: Probabilistic Relevance Feedback (PRF) and Mutual Information Relevance Feedback (MI-RF) to improve retrieval performance. After an analysis of our experiments and of the official results at CLEF 2007, we achieved considerably improved scores by using query expansion techniques for different languages (Hungarian, Bulgarian and Czech).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gale, W.A., Church, K.W.: Identifying word correspondence in parallel texts. In: HLT 1991: Proceedings of the workshop on Speech and Natural Language, Morristown, NJ, USA, pp. 152–157. ACL (1991)
Llopis, F.: IR-n: Un Sistema de Recuperación de Información Basado en Pasajes. PhD thesis, University of Alicante (2003)
Robertson, S.E., Jones, K.S.: Relevance weighting of search terms, pp. 143–160. Taylor Graham Publishing, London (1988)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Noguera, E., Llopis, F. (2008). Applying Query Expansion Techniques to Ad Hoc Monolingual Tasks with the IR-n System. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-85760-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85759-4
Online ISBN: 978-3-540-85760-0
eBook Packages: Computer ScienceComputer Science (R0)