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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
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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
Abstract: In this paper we will briefly describe the approaches taken by Berkeley for the main GeoCLEF 2007 tasks (Mono and Bilingual retrieval). This year we used only a single system in the research, and were not able to do much in the way of interesting geographic work due to a number of factors, not the least of which was time competition from other tasks. The approach this year used probabilistic text retrieval based on logistic regression and incorporating blind relevance feedback for all of the runs. All translation for bilingual tasks was performed using the LEC Power Translator PCbased MT system. Since data on overall performance relative to other participants were not available at the time of writing, our discussion in this paper is limited to comparison between our submitted runs.
Keyword: General Terms Algorithms; Logistic Regression; Measurement Keywords Cheshire II; Performance
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.737
http://www.clef-campaign.org/2007/working_notes/larsonclef2007geo.pdf
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