Text Retrieval Conference

Results: 814



#Item
631Natural language processing / Computational linguistics / Information retrieval / Speech recognition / N-gram / Search engine indexing / Document retrieval / Text Retrieval Conference / Syllable / Information science / Science / Linguistics

Mandarin-English Information (MEI): Investigating Translingual Speech Retrieval Helen Meng,1 Berlin Chen,2 Sanjeev Khudanpur,3 Gina-Anne Levow,4 Wai-Kit Lo,1 Douglas Oard,4 Patrick Schone,5 Karen Tang,6 Hsin-Min Wang2 an

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Source URL: www.acsu.buffalo.edu

Language: English - Date: 2006-08-21 19:13:02
632Relevance feedback / Text Retrieval Conference / Document retrieval / Query expansion / Relevance / Precision and recall / Search engine indexing / Lemur Project / Information science / Information retrieval / Science

Universities of Avignon & Lyon III at TREC 2008: Enterprise Track Eric SanJuan∗ LIA & IUT STID, University of Avignon, FRANCE Nicolas Flavier†

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:14
633Relevance feedback / Language model / Relevance / Text Retrieval Conference / N-gram / Tf*idf / Precision and recall / Document retrieval / Ranking function / Information science / Information retrieval / Science

Incorporating Relevance and Psuedo-relevance Feedback in the Markov Random Field Model Brown at the TREC’08 Relevance Feedback Track∗ Matthew Lease Brown Laboratory for Linguistic Information Processing (BLLIP)

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:18
634Information / Text Retrieval Conference / Precision and recall / Relevance / Document retrieval / Search engine indexing / Subject / Concept Search / Information science / Information retrieval / Science

TREC 2009 at the University at Buffalo: Interactive Legal E-Discovery With Enron Emails Jianqiang Wang Department of Library and Information Studies University at Buffalo, the State University of New York Buffalo, NY 142

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Source URL: www.acsu.buffalo.edu

Language: English - Date: 2011-09-07 18:22:24
635Information / Library science / Natural language processing / Relevance / Baseline / Precision and recall / Subject / Text Retrieval Conference / Science / Information science / Information retrieval

Overview of the TREC-2008 Blog Track 1. Iadh Ounis, Craig Macdonald

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Source URL: trec.nist.gov

Language: English - Date: 2009-07-14 09:38:52
636Natural language processing / Statistics / Machine learning / Computational linguistics / Statistical classification / Text Retrieval Conference / Precision and recall / Okapi BM25 / Relevance / Information science / Information retrieval / Science

DCU at the TREC 2008 Blog Track Adam Bermingham Alan Smeaton CLARITY: Centre for Sensor Web Technologies

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:17
637Text Retrieval Conference / Relevance / Precision and recall / Cyril Cleverdon / IR evaluation / Evidence / Search engine indexing / Relevance feedback / Information science / Information retrieval / Science

Accuracy, Agreement, Speed, and Perceived Difficulty of Users’ Relevance Judgments for E-Discovery Jianqiang Wang Department of Library and Information Studies Graduate School of Education University at Buffalo, the St

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Source URL: www.acsu.buffalo.edu

Language: English - Date: 2011-09-07 18:18:23
638Relevance / Text Retrieval Conference / Ranking function / Query expansion / Blog / Relevance feedback / Information science / Information retrieval / Science

C:/Documents and Settings/MYKO/My Documents/TREC2008/notebook.dvi

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:11
639Relevance feedback / Relevance / Text Retrieval Conference / Precision and recall / Query expansion / Document retrieval / Feedback / Extended Boolean model / Discounted cumulative gain / Information science / Information retrieval / Science

Microsoft Word - CMU_RF08_v1.2.doc

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:18
640Relevance / Text Retrieval Conference / Query expansion / Document retrieval / Precision and recall / Lemur Project / Search engine indexing / Concept Search / Extended Boolean model / Information science / Information retrieval / Relevance feedback

Query Expansion for Noisy Legal Documents 1 Lidan Wang1,3 and Douglas W. Oard2,3 Computer Science Department, 2 College of Information Studies and 3

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:16
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