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

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Advances in Multilingual and Multimodal Information Retrieval (CLEF 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5152))

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Abstract

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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References

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Carol Peters Valentin Jijkoun Thomas Mandl Henning Müller Douglas W. Oard Anselmo Peñas Vivien Petras Diana Santos

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Larson, R.R. (2008). Experiments in Classification Clustering and Thesaurus Expansion for Domain Specific Cross-Language Retrieval. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_25

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  • DOI: https://doi.org/10.1007/978-3-540-85760-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85759-4

  • Online ISBN: 978-3-540-85760-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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