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1
Generalizing from relevance feedback using named entity wildcards
In: http://www.cs.cmu.edu/%7Ealad/papers/lad-cikm07.pdf (2007)
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2
Translingual Information Retrieval: A Comparative Evaluation ...
Carbonell, Jaime G.; Yiming Yang; Frederking, Robert. - : Carnegie Mellon University, 2007
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3
Translingual Information Retrieval: A Comparative Evaluation ...
Carbonell, Jaime G.; Yiming Yang; Frederking, Robert. - : Carnegie Mellon University, 2007
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4
CONTROL: CLEF-2003 with Open, Transparent Resources Off-Line. Experiments with merging strategies
In: http://www.clef-campaign.org/2003/WN_web/07.pdf (2003)
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5
A Study of Approaches to Hypertext Categorization
In: http://www.cs.cmu.edu/~yiming/papers.yy/jiis02.ps.gz (2002)
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6
Report on the CONALD Workshop on Learning from Text and the Web
In: http://www.cs.cmu.edu/~yiming/papers.yy/conald98-report.ps.gz (1998)
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7
Translingual Information Retrieval: Learning from Bilingual Corpora ...
Yiming Yang; Carbonell, Jaime G.; Brown, Ralf D.. - : Carnegie Mellon University, 1998
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8
Translingual Information Retrieval: Learning from Bilingual Corpora ...
Yiming Yang; Carbonell, Jaime G.; Brown, Ralf D.. - : Carnegie Mellon University, 1998
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9
Translingual Information Retrieval: Learning from Bilingual Corpora
In: http://www.cs.cmu.edu/afs/cs.cmu.edu/user/ralf/pub/WWW/papers/aij98.ps (1997)
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10
Translingual Information Retrieval: A Comparative Evaluation
In: http://www-cgi.cs.cmu.edu./People/ralf/papers/ijcai97-5.ps (1997)
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11
Translingual Information Retrieval: A Comparative Evaluation
In: http://www.cs.cmu.edu/~yiming/papers.yy/ijcai97-6.ps.gz (1997)
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12
A linear least squares fit mapping method for information retrieval from natural language texts
In: http://acl.ldc.upenn.edu/C/C92/C92-2069.pdf (1992)
Abstract: This paper describes a unique method for mapping natural language texts to canonical terms that identify the contents of the texts. This method learns empirical associations between free-form texts and canonical terms from human-assigned matches and determines a Linear Least Squares Fit (LLSF) mapping function which represents weighted connections between words in the texts and the canonical terms. The mapping function enables us to project an arbitrary text to the canonical term space where the "transformed " text is compared with the terms, and similarity scores are obtained which quantify the relevance between the the text and the terms. This approach has superior power to discover synonyms or related terms and to preserve the context sensitivity of the mapping. We achieved a rate of 84 ~ in both the recall and the precision with a testing set of 6,913 texts, outperforming other techniques including string matching (15%), morphological parsing (17%) and statistical weighting (21%). 1.
URL: http://acl.ldc.upenn.edu/C/C92/C92-2069.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.6281
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13
Translingual Information Retrieval: Learning from Bilingual Corpora ...
Yiming Yang; Carbonell, Jaime G.; Brown, Ralf D. - : Carnegie Mellon University, 1988
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14
Translingual Information Retrieval: Learning from Bilingual Corpora ...
Yiming Yang; Carbonell, Jaime G.; Brown, Ralf D. - : Carnegie Mellon University, 1988
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15
ABSTRACT Generalizing from Relevance Feedback using Named Entity Wildcards
In: http://nyc.lti.cs.cmu.edu/yiming/Publications/alad-cikm07.pdf
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16
Combining Prediction, Syntactic Analysis and Semantic Analysis in Chinese Sentence Analysis
In: http://dli.iiit.ac.in/ijcai/IJCAI-87-VOL2/PDF/016.pdf
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17
Cross-Lingual Event Tracking
In: http://www.cs.cmu.edu/~mrogati/pubs/cledt.pdf
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18
Applying CLIR Techniques to Event Tracking
In: http://nyc.lti.cs.cmu.edu/yiming/Publications/ma-airs04.pdf
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19
Relevance of Cluster size in MMR based Summarizer: A Report 11-742: Self-paced lab in Information Retrieval
In: http://www.cs.cmu.edu/~madhavi/publications/Ganapathiraju_11-742Report.pdf
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20
Statistical learning
In: http://nyc.lti.cs.cmu.edu/yiming/Publications/yang-aij98.pdf
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