Cheshire at GeoCLEF 2008: text and fusion approaches for GIR

Authors:
Ray R. Larson
Affiliations:
School of Information, University of California, Berkeley
Venue:
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Year:
2008

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Abstract

In this paper we will briefly describe the approaches taken by the Berkeley Cheshire group for the main GeoCLEF 2008 tasks (Mono and Bilingual retrieval), and present some analyses of the fusion approach used. This year our submissions used probabilistic text retrieval based on logistic regression and incorporating blind relevance feedback for all of the runs and in addition we ran a number of tests combining this type of search with OKAPI BM25 searches using a fusion approach. We did not, however, use any explicit geographic processing. All translation for bilingual tasks was performed using the LEC Power Translator PC-based MT system.