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Back to Basics - Again - for Domain Specific Retrieval. This volume
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In: http://clef.isti.cnr.it/2008/working_notes/Berkeley_Domain_Specific_08.pdf (2008)
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Experiments in Classification Clustering and Thesaurus Expansion for Domain Specific Cross-Language Retrieval
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In: http://www.clef-campaign.org/2007/working_notes/larsonclef2007_ds.pdf
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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[10]. 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 that were developed over the past many years and used very successfully in earlier Berkeley entries in this track. All of the runs submitted were performed using the Cheshire II system. This year Berkeley submit a total of submitted 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). Since the overall results were not available at the time this paper was due, we do not know how these results fared compared to other participants, so the discussion in this paper focuses on comparisions between our own runs.
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Keyword:
Entry Vocabulary Indexes; H.3 [Information Storage and Retrieval; H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval General Terms Algorithms; Logistic Regression; Measurement Keywords Cheshire II; Performance
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.4880
http://www.clef-campaign.org/2007/working_notes/larsonclef2007_ds.pdf
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