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1
A Survey of Recent Research on Ontology Mapping
In: http://www.sfu.ca/~mhatala/iat881/2005/DM-OntologyMapping.pdf (2005)
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2
The liberal media and right-wing conspiracies: using cocitation information to estimate political orientation in web documents
In: http://www.ischool.utexas.edu/~miles/papers/efron-libmedia.pdf (2004)
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3
An Evaluation of Unnamed Relations Computation for Discovery of Protein-Protein Interactions
In: http://www.labsoftware.com/flahdo/Papers/EvalUnnamed.pdf (2003)
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4
Discovering word senses from text
In: http://www.cs.ualberta.ca/~lindek/papers/kdd02.pdf (2002)
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5
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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6
Speech Driven Facial Animation
In: http://www.cs.ucsb.edu/PUI/PUIWorkshop/PUI-2001/a8.pdf (2001)
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7
Speech Driven Facial Animation
In: http://vislab.cs.wright.edu/~anna/PDF-Files/ricardo.pdf (2001)
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8
2006 Using Syntactic Knowledge for QA
In: http://www.rug.nl/science-and-society/centre-for-information-technology/research/hpcv/publications/scientific_publications/bouma-clef2006.pdf
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9
Folks in Folksonomies: Social Link Prediction from Shared Metadata
In: http://informatics.indiana.edu/fil/Papers/wsdm141-schifanella.pdf
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10
Question Answering with Joost at CLEF 2007 ∗
In: http://www.clef-campaign.org/2007/working_notes/boumaCLEF2007.pdf
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11
Incorporate the Syntactic Knowledge in Opinion Mining in User-generated Content
In: https://www.cl.cs.titech.ac.jp/~fujii/NLPIX2008/paper4.pdf
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12
From CLIR to CLIE: Some Lessons in NTCIR Evaluation
In: http://nlg.csie.ntu.edu.tw/conference_papers/iwridl2006.pdf
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13
Automatic Childhood Autism Detection by Vocalization Decomposition with Phone-like Units
In: http://www.lenafoundation.org/pdf/WOCCI-2009-Automatic-Childhood-Autism-Detection.pdf
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14
University of Alicante at GeoCLEF2005
In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/ferrandez05.pdf
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15
Abstract
In: http://www.grupocole.org/cole/library/ps/VilOakVil2007b.pdf
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16
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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