In this paper we will briefly describe the approaches taken by Berkeley for the main GeoCLEF 2007 tasks (Mono and Bilingual retrieval). The approach this year was to use probabilistic text retrieval based on logistic regression and incorporating blind relevance feedback for all of the runs. Our intent was to establish a baseline result without explicit geographic processing for comparision with future geographic processing approaches. All translation for bilingual tasks was performed using the LEC Power Translator machine translation system. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Larson, R. R. (2008). Cheshire at GeoCLEF 2007: Retesting text retrieval baselines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5152 LNCS, pp. 811–814). Springer Verlag. https://doi.org/10.1007/978-3-540-85760-0_102
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