Experiments in Classification Clustering and Thesaurus Expansion for Domain Specific Cross-Language Retrieval

  • Ray R. Larson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5152)


In this paper we will describe Berkeley’s approach to the Domain Specific (DS) track for CLEF 2007. This year we are using forms of the Entry Vocabulary Indexes and Thesaurus expansion approaches used by Berkeley in 2005[7]. Despite the basic similarity of approach, we are using quite different implementations with different characteristics. We are not, however, using the tools for de-compounding for German. All of the runs submitted were performed using the Cheshire II system. This year Berkeley submitted a total of 24 runs, including one for each subtask of the DS track. These include 6 Monolingual runs for English, German, and Russian, 12 Bilingual runs (4 X2EN, 4 X2DE, and 4 X2RU), and 6 Multilingual runs (2 EN, 2 DE, and 2 RU).


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  1. 1.
    Chen, A.: Multilingual information retrieval using english and chinese queries. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds.) Evaluation of Cross-Language Information Retrieval Systems: Second Workshop of the Cross-Language Evaluation Forum, CLEF-2001, Darmstadt, Germany, September 2001. LNCS, vol. 2406, pp. 44–58. Springer, Heidelberg (2002)Google Scholar
  2. 2.
    Chen, A.: Cross-Language Retrieval Experiments at CLEF 2002. In: Peters, C., Braschler, M., Gonzalo, J. (eds.) CLEF 2002. LNCS, vol. 2785, pp. 28–48. Springer, Heidelberg (2003)Google Scholar
  3. 3.
    Chen, A., Gey, F.C.: Multilingual information retrieval using machine translation, relevance feedback and decompounding. Information Retrieval 7, 149–182 (2004)CrossRefGoogle Scholar
  4. 4.
    Cooper, W.S., Chen, A., Gey, F.C.: Full Text Retrieval based on Probabilistic Equations with Coefficients fitted by Logistic Regression. In: Text REtrieval Conference (TREC-2), pp. 57–66 (1994)Google Scholar
  5. 5.
    Gey, F., Buckland, M., Chen, A., Larson, R.: Entry vocabulary – a technology to enhance digital search. In: Proceedings of HLT 2001, First International Conference on Human Language Technology, San Diego, March 2001, pp. 91–95 (2001)Google Scholar
  6. 6.
    Larson, R.R.: Evaluation of advanced retrieval techniques in an experimental online catalog. Journal of the American Society for Information Science 43(1), 34–53 (1992)CrossRefGoogle Scholar
  7. 7.
    Petras, V., Gey, F., Larson, R.: Domain-specific CLIR of english, german and russian using fusion and subject metadata for query expansion. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 226–237. Springer, Heidelberg (2006)CrossRefGoogle Scholar

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© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

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

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