UniNE at Domain-Specific IR - CLEF 2008: Scientific Data Retrieval: Various Query Expansion Approaches

Our first objective in participating in this domain -specific evaluation campaign is to propose and evaluate various indexing and search strategies for the German, English and Russian languages, in an effort to obtain better retrieval effectiveness tha n that of the language-independent approach (n-gram). To do so we evaluate the GIRT-4 test-colle ction using the Okapi, various IR models derived from the Divergence from Randomness (DFR) paradigm, the statistical language model (LM) together with the classical tf .idf vector-processing scheme.

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