Using BM25F and KLD for Pattern Retrieval
نویسندگان
چکیده
We describe in this paper our system for the Prior-art task of CLEFIP 2010 (a task focused on the retrieval of relevant patents to a given one) and its results. We have developed a system where patents are indexed by fields in order to allow a selection of the most discriminative terms of each field, applying Kullback-Leibler divergence as feature selection method, and using different boost factors for each field applying BM25F as ranking function. Although CLEF-IP has been proposed in a multilingual scenario, we have approached it from a monolingual perspective. The results are on the average of last year’s results, what encourages us to continue the development of this system by including some kind of multi-lingual processing.
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