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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 22 1 Generalizing from relevance feedback using named entity wildcards Abhimanyu Lad; Yiming Yang In: http://www.cs.cmu.edu/%7Ealad/papers/lad-cikm07.pdf (2007) BASE Show details 2 Translingual Information Retrieval: A Comparative Evaluation ... Carbonell, Jaime G.; Yiming Yang; Frederking, Robert. - : Carnegie Mellon University, 2007 BASE Show details 3 Translingual Information Retrieval: A Comparative Evaluation ... Carbonell, Jaime G.; Yiming Yang; Frederking, Robert. - : Carnegie Mellon University, 2007 BASE Show details 4 CONTROL: CLEF-2003 with Open, Transparent Resources Off-Line. Experiments with merging strategies Monica Rogati; Yiming Yang In: http://www.clef-campaign.org/2003/WN_web/07.pdf (2003) BASE Show details 5 A Study of Approaches to Hypertext Categorization Yiming Yang; Sean Slattery; Rayid Ghani In: http://www.cs.cmu.edu/~yiming/papers.yy/jiis02.ps.gz (2002) BASE Show details 6 Report on the CONALD Workshop on Learning from Text and the Web Jaime Carbonell; Mark Craven; Steve Fienberg... In: http://www.cs.cmu.edu/~yiming/papers.yy/conald98-report.ps.gz (1998) BASE Show details 7 Translingual Information Retrieval: Learning from Bilingual Corpora ... Yiming Yang; Carbonell, Jaime G.; Brown, Ralf D.. - : Carnegie Mellon University, 1998 BASE Show details 8 Translingual Information Retrieval: Learning from Bilingual Corpora ... Yiming Yang; Carbonell, Jaime G.; Brown, Ralf D.. - : Carnegie Mellon University, 1998 BASE Show details 9 Translingual Information Retrieval: Learning from Bilingual Corpora Yiming Yang; Jaime G. Carbonell; Ralf D. Brown... In: http://www.cs.cmu.edu/afs/cs.cmu.edu/user/ralf/pub/WWW/papers/aij98.ps (1997) BASE Show details 10 Translingual Information Retrieval: A Comparative Evaluation Jaime G. Carbonell; Yiming Yang; Robert E. Frederking... In: http://www-cgi.cs.cmu.edu./People/ralf/papers/ijcai97-5.ps (1997) BASE Show details 11 Translingual Information Retrieval: A Comparative Evaluation Jaime G. Carbonell; Yiming Yang; Robert E. Frederking... In: http://www.cs.cmu.edu/~yiming/papers.yy/ijcai97-6.ps.gz (1997) BASE Show details 12 A linear least squares fit mapping method for information retrieval from natural language texts Yiming Yang; Christopher G. Chute In: http://acl.ldc.upenn.edu/C/C92/C92-2069.pdf (1992) BASE Show details 13 Translingual Information Retrieval: Learning from Bilingual Corpora ... Yiming Yang; Carbonell, Jaime G.; Brown, Ralf D. - : Carnegie Mellon University, 1988 BASE Show details 14 Translingual Information Retrieval: Learning from Bilingual Corpora ... Yiming Yang; Carbonell, Jaime G.; Brown, Ralf D. - : Carnegie Mellon University, 1988 BASE Show details 15 ABSTRACT Generalizing from Relevance Feedback using Named Entity Wildcards Abhimanyu Lad; Yiming Yang In: http://nyc.lti.cs.cmu.edu/yiming/Publications/alad-cikm07.pdf Abstract: Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irrelevant documents are down-weighted. This biases the query model towards specific words seen in the past, causing the system to favor documents containing relevant but redundant information over documents that use previously unseen words to denote new facts about the same news event. This paper proposes news ways of generalizing from relevance feedback by augmenting the traditional bagof-words query model with named entity wildcards that are anchored in context. The use of wildcards allows generalization beyond specific words, while contextual restrictions limit the wildcard-matching to entities related to the user’s query. We test our new approach in a nuggetlevel adaptive filtering system and evaluate it in terms of both relevance and novelty of the presented information. Our results indicate that higher recall is obtained when lexical terms are generalized using wildcards. However, such wildcards must be anchored to their context to maintain good precision. How the context of a wildcard is represented and matched against a given document also plays a crucial role in the performance of the retrieval system. Keyword: adaptive filtering; Experimentation; filtering; I.5.2 General Terms Design; Measurement; named entities; Performance. Keywords Relevance feedback; Relevance feedback; Retrieval models; Selection process URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.62.9794 http://nyc.lti.cs.cmu.edu/yiming/Publications/alad-cikm07.pdf BASE Hide details 16 Combining Prediction, Syntactic Analysis and Semantic Analysis in Chinese Sentence Analysis Yiming Yang In: http://dli.iiit.ac.in/ijcai/IJCAI-87-VOL2/PDF/016.pdf BASE Show details 17 Cross-Lingual Event Tracking Yiming Yang In: http://www.cs.cmu.edu/~mrogati/pubs/cledt.pdf BASE Show details 18 Applying CLIR Techniques to Event Tracking Nianli Ma Yiming; Yiming Yang; Monica Rogati In: http://nyc.lti.cs.cmu.edu/yiming/Publications/ma-airs04.pdf BASE Show details 19 Relevance of Cluster size in MMR based Summarizer: A Report 11-742: Self-paced lab in Information Retrieval K. Ganapathiraju; Advisors Dr; Jaime Carbonell... In: http://www.cs.cmu.edu/~madhavi/publications/Ganapathiraju_11-742Report.pdf BASE Show details 20 Statistical learning Yiming Yang; Jaime G. Carbonell; Ralf D. Brown... In: http://nyc.lti.cs.cmu.edu/yiming/Publications/yang-aij98.pdf BASE Show details Page: 1 2

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