Abstract
This year, we have participated in the Ad-Hoc Robust Multilingual track with the aim of evaluating two important issues in Cross-Lingual Information Retrieval (CLIR) systems. This paper first describes the method applied for query expansion in a multilingual environment by using web search results provided by the Google engine in order to increase retrieval robustness. Unfortunately, the results obtained are disappointing. The second issue reported alludes to the robustness of several common merging algorithms. We have found that 2-step RSV merging algorithms perform better than others algorithms when evaluating using geometric average.
This work has been supported by the Spanish Government (MCYT) with grant TIC2003-07158-C04-04 and the RFC/PP2006/Id_514 granted by the University of Jaén.
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Martínez-Santiago, F., Montejo-Ráez, A., García-Cumbreras, M.Á., Ureña-López, L.A. (2007). SINAI at CLEF 2006 Ad Hoc Robust Multilingual Track: Query Expansion Using the Google Search Engine. In: Peters, C., et al. Evaluation of Multilingual and Multi-modal Information Retrieval. CLEF 2006. Lecture Notes in Computer Science, vol 4730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74999-8_16
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DOI: https://doi.org/10.1007/978-3-540-74999-8_16
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