Statistical inference in retrieval effectiveness evaluation
Information Processing and Management: an International Journal
Experimentation as a way of life: Okapi at TREC
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Fusion Via a Linear Combination of Scores
Information Retrieval
Combining Multiple Strategies for Effective Monolingual and Cross-Language Retrieval
Information Retrieval
Comparative study of monolingual and multilingual search models for use with asian languages
ACM Transactions on Asian Language Information Processing (TALIP)
Monolingual, bilingual, and GIRT information retrieval at CLEF-2005
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
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For our participation in the CLEF 2006 campaign, our first objective was to propose and evaluate a decompounding algorithm and a more aggressive stemmer for the Hungarian language. Our second objective was to obtain a better picture of the relative merit of various search engines for the French, Portuguese/Brazilian and Bulgarian languages. To achieve this we evaluated the test-collections using the Okapi approach, some of the models derived from the Divergence from Randomness (DFR) family and a language model (LM), as well as two vector-processing approaches. In the bilingual track, we evaluated the effectiveness of various machine translation systems for a query submitted in English and automatically translated into the French and Portuguese languages. After blind query expansion, the MAP achieved by the best single MT system was around 95% for the corresponding monolingual search when French was the target language, or 83% with Portuguese. Finally, in the robust retrieval task we investigated various techniques in order to improve the retrieval performance of difficult topics.