Abstract
For our participation in CLEF, the Berkeley group participated in the monolingual, multilingual and GIRT tasks. To help enrich the CLEF relevance set for future training, we prepared a manual reformulation of the original German queries which achieved excellent performance, more than 110% better than average of median precision. The GIRT task performed English-German Cross-Language IR by comparing commercial machine translation with thesaurus lookup techniques and query expansion techniques. Combining all techniques using simple data fusion produced the best results.
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Gey, F.C., Jiang, H., Petras, V., Chen, A. (2001). Cross-Language Retrieval for the CLEF Collections — Comparing Multiple Methods of Retrieval. In: Peters, C. (eds) Cross-Language Information Retrieval and Evaluation. CLEF 2000. Lecture Notes in Computer Science, vol 2069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44645-1_11
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DOI: https://doi.org/10.1007/3-540-44645-1_11
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