Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Combining passages in the monolingual task with the IR-n system
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Lexical and Syntactic knowledge for Information Retrieval
Information Processing and Management: an International Journal
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The paper describes our participation in monolingual tasks at CLEF 2006. We submitted results for the following languages: English, French, Portuguese and Hungarian.We focused on studying different weighting schemes (okapi and dfr) and retrieval strategies (passage retrieval and document retrieval) to improve retrieval performance. After an analysis of our experiments and of the official results at CLEF 2006, we achieved considerably improved scores by using different configurations for different languages (French, Portuguese and Hungarian).