Logistic Regression for Metadata: Cheshire Takes on Adhoc-TEL

  • Ray R. Larson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)


In this paper we will briefly describe the approaches taken by the Berkeley Cheshire Group for the Adhoc-TEL 2008 tasks (Mono and Bilingual retrieval). Since the Adhoc-TEL task is new for this year, we took the approach of using methods that have performed fairly well in other tasks. In particular, the approach this year used probabilistic text retrieval based on logistic regression and incorporating blind relevance feedback for all of the runs. All translation for bilingual tasks was performed using the LEC Power Translator PC-based MT system. This approach seems to be a fit good for the limited TEL records, since the overall results show Cheshire runs in the top five submitted runs for all languages and tasks except for Monolingual German.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ray R. Larson
    • 1
  1. 1.School of InformationUniversity of CaliforniaBerkeleyUSA

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