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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)
Abstract: In this paper I will describe the Berkeley (group 1) approach to the GeoCLEF task for CLEF 2005. The main technique we are testing is the fusion of multiple probabilistic searches against different XML components using both Logistic Regression (LR) algorithms and a version of the Okapi BM-25 algorithm. We also combine multiple translations of queries in cross-language searching. Since this is the first time that the Cheshire system has been used for CLEF this approach can, at best, be considered a very preliminary base testing of some retrieval algorithms and approaches. The primary geographically based approaches taken for GeoCLEF were to georeference proper nouns in the text using a gazetteer derived from the World Gazetteer with both English and German names for each place, and to expand place names for regions or countries in the queries by the names of the countries or cities in those regions or countries.
Keyword: Data Fusion; General Terms Algorithms; Logistic Regression; Measurement Keywords Cheshire II; Performance
URL: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/larson205.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.5546
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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
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