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1
Back to Basics - Again - for Domain Specific Retrieval. This volume
In: http://clef.isti.cnr.it/2008/working_notes/Berkeley_Domain_Specific_08.pdf (2008)
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2
Translating Dialects in Search: Mapping between Specialized Languages of Discourse and Documentary Languages
In: http://people.ischool.berkeley.edu/~vivienp/diss/vpetras-dissertation2006-shortformat.pdf (2006)
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3
Translingual vocabulary mappings for multilingual information access: SIGIR
In: http://www.mariapinto.es/ciberabstracts/Articulos/larson.pdf (2002)
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4
Harvesting Translingual Vocabulary Mappings for Multilingual Digital Libraries
In: http://cheshire.lib.berkeley.edu/p64-larson.pdf (2002)
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5
Harvesting Translingual Vocabulary Mappings for Multilingual Digital Libraries
In: http://metadata.sims.berkeley.edu/GrantSupported/./papers/p64-larson.pdf (2002)
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6
hsql database engine home page. http://hsqldb.sourceforge.net
In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/larson205.pdf (2001)
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7
Manual Queries and Machine Translation in Cross-language Retrieval and Interactive Retrieval with Cheshire II at TREC-7
In: http://trec.nist.gov/pubs/trec7/papers/berkeley.trec7.ps (1998)
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8
Experiments in Classification Clustering and Thesaurus Expansion for Domain Specific Cross-Language Retrieval
In: http://www.clef-campaign.org/2007/working_notes/larsonclef2007_ds.pdf
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9
Multilingual Query Expansion for CLEF Adhoc-TEL
In: http://clef.isti.cnr.it/2009/working_notes/larson-Adhoc-TEL-CLEF2009.pdf
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10
Domain Specic Retrieval: Back to Basics
In: http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/larson-DSCLEF2006.pdf
Abstract: In this paper we will describe Berkeley's approach to the Domain Specic (DS) track for CLEF 2006. This year we are not using the tools for thesaurus-based query expansion and de-compounding for German that were developed over the past many years and used very successfully in earlier Berkeley entries in this track. Our intent has been to incorporate those tools into the Cheshire system, but we were unable to complete the development in time for use in the ocially submitted runs. This year Berkeley submitted 12 runs, including one for each subtask of the DS track. These include 3 Monolingual runs for English, German, and Russian, 7 Bilingual runs (3 X2EN, 1 X2DE, and 3 X2RU), and 2 Multilingual runs. For many DS sub-tasks our runs were the best performing runs, but sadly they were also the only runs for a number of sub-tasks. In the sub-tasks where there were other entries, our relative performance was above the mean performance in 2 sub-tasks and just below the mean in another.
Keyword: Categories and Subject Descriptors H.3 [Information Storage and Retrieval; H.3.1 Content Analysis and Indexing; H.3.3 Infor- mation Search and Retrieval General Terms Algorithms; Logistic Regression; Measurement Keywords Cheshire II; Performance
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.586.273
http://clef.isti.cnr.it/2006/working_notes/workingnotes2006/larson-DSCLEF2006.pdf
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11
Blind Relevance Feedback for the ImageCLEF Wikipedia Retrieval Task
In: http://clef2010.org/resources/proceedings/clef2010labs_submission_72.pdf
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12
Manual Queries and Machine Translation in Cross-language Retrieval and Interactive Retrieval
In: http://trec.nist.gov/pubs/trec7/papers/berkeley.trec7.pdf.gz
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13
Linked Relevance Feedback for the ImageCLEF Photo Task
In: http://www.clef-campaign.org/2007/working_notes/LarsonCLEF2007_Image.pdf
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14
Probabilistic Text Retrieval for NTCIR9 GeoTime
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/05-NTCIR9-GEOTIME-LarsonR.pdf
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15
Logistic Regression for Metadata: Cheshire takes on Adhoc-TEL
In: http://clef.isti.cnr.it/2008/working_notes/larson_Adhoc_TEL.pdf
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16
Cheshire at GeoCLEF 2008: Text and Fusion Approaches for
In: http://clef.isti.cnr.it/2008/working_notes/larson_GeoCLEF.pdf
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17
Cheshire at GeoCLEF 2007: Retesting Text Retrieval Baselines
In: http://www.clef-campaign.org/2007/working_notes/larsonclef2007geo.pdf
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