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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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Translating Dialects in Search: Mapping between Specialized Languages of Discourse and Documentary Languages
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In: http://people.ischool.berkeley.edu/~vivienp/diss/vpetras-dissertation2006-shortformat.pdf (2006)
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Translingual vocabulary mappings for multilingual information access: SIGIR
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In: http://www.mariapinto.es/ciberabstracts/Articulos/larson.pdf (2002)
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Harvesting Translingual Vocabulary Mappings for Multilingual Digital Libraries
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In: http://cheshire.lib.berkeley.edu/p64-larson.pdf (2002)
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Harvesting Translingual Vocabulary Mappings for Multilingual Digital Libraries
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In: http://metadata.sims.berkeley.edu/GrantSupported/./papers/p64-larson.pdf (2002)
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hsql database engine home page. http://hsqldb.sourceforge.net
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In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/larson205.pdf (2001)
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Manual Queries and Machine Translation in Cross-language Retrieval and Interactive Retrieval with Cheshire II at TREC-7
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In: http://trec.nist.gov/pubs/trec7/papers/berkeley.trec7.ps (1998)
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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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Multilingual Query Expansion for CLEF Adhoc-TEL
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In: http://clef.isti.cnr.it/2009/working_notes/larson-Adhoc-TEL-CLEF2009.pdf
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Domain Specic Retrieval: Back to Basics
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In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/larson-DSCLEF2006.pdf
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Blind Relevance Feedback for the ImageCLEF Wikipedia Retrieval Task
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In: http://clef2010.org/resources/proceedings/clef2010labs_submission_72.pdf
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Manual Queries and Machine Translation in Cross-language Retrieval and Interactive Retrieval
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In: http://trec.nist.gov/pubs/trec7/papers/berkeley.trec7.pdf.gz
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Linked Relevance Feedback for the ImageCLEF Photo Task
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In: http://www.clef-campaign.org/2007/working_notes/LarsonCLEF2007_Image.pdf
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Probabilistic Text Retrieval for NTCIR9 GeoTime
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/05-NTCIR9-GEOTIME-LarsonR.pdf
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Logistic Regression for Metadata: Cheshire takes on Adhoc-TEL
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In: http://clef.isti.cnr.it/2008/working_notes/larson_Adhoc_TEL.pdf
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Cheshire at GeoCLEF 2008: Text and Fusion Approaches for
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In: http://clef.isti.cnr.it/2008/working_notes/larson_GeoCLEF.pdf
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Cheshire at GeoCLEF 2007: Retesting Text Retrieval Baselines
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In: http://www.clef-campaign.org/2007/working_notes/larsonclef2007geo.pdf
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