Text Retrieval Conference

Results: 814



#Item
251Tf*idf / Query expansion / Relevance / Text Retrieval Conference / Search engine indexing / Okapi BM25 / SMART Information Retrieval System / Information science / Information retrieval / Science

FUB at TREC-10 Web Track: A probabilistic framework for topic relevance term weighting Gianni Amati  Claudio Carpineto Giovanni Romano Fondazione Ugo Bordoni, Roma, Italy

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Source URL: trec.nist.gov

Language: English - Date: 2002-02-12 08:34:33
252Relevance feedback / Tf*idf / Relevance / Document retrieval / Search engine indexing / Precision and recall / Language model / Text Retrieval Conference / Okapi BM25 / Information science / Information retrieval / Query expansion

University of Glasgow at TREC 2007: Experiments in Blog and Enterprise Tracks with Terrier David Hannah, Craig Macdonald, Jie Peng, Ben He, Iadh Ounis Department of Computing Science University of Glasgow Scotland, UK

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Source URL: trec.nist.gov

Language: English - Date: 2008-02-06 14:13:16
253Natural language processing / Computational linguistics / Text Retrieval Conference / Question answering / Question / Document retrieval / Search engine indexing / Yes and no / QA / Information science / Science / Information retrieval

Testing an Entity Ranking Function for English Factoid QA K.L. Kwok and N. Dinstl Computer Science Department Queens College, City University of New York 1

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Source URL: trec.nist.gov

Language: English - Date: 2008-01-31 06:58:17
254Computational linguistics / Natural language processing / Question answering / Open domain question answering / Text Retrieval Conference / Query expansion / WordNet / Document retrieval / Question / Information science / Information retrieval / Science

The Integration of Lexical Knowledge and External Resources for Question Answering Hui Yang and Tat-Seng Chua School of Computing, National University of Singapore Email: {yangh,chuats}@comp.nus.edu.sg Abstract For the s

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Source URL: trec.nist.gov

Language: English - Date: 2003-02-13 12:00:44
255Relevance feedback / Relevance / Precision and recall / Search engine indexing / Document clustering / Text Retrieval Conference / Concept Search / Information science / Information retrieval / Science

CLARIT TREC-8 Manual Ad-Hoc Experiments David A. Evans, Jeffrey Bennett, Xiang Tong, Alison Huettner, Chengxiang Zhai, Emilia Stoica CLARITECH Corporation Abstract. CLARITECH’s submission in TREC-7

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Source URL: trec.nist.gov

Language: English - Date: 2000-02-04 12:44:49
256Text Retrieval Conference / Search engine indexing / Okapi BM25 / Full text search / Precision and recall / Learning to rank / Human–computer information retrieval / Information science / Information retrieval / Document retrieval

IIT at TREC-2003 Task Classification & Document Structure for Known-Item Search Steve Beitzel, Eric Jensen, Rebecca Cathey, Ling Ma David Grossman, Ophir Frieder

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Source URL: trec.nist.gov

Language: English - Date: 2004-02-12 14:07:09
257Relevance feedback / Query expansion / Relevance / Precision and recall / Text Retrieval Conference / Concept Search / Information science / Information retrieval / Science

Relevance Feedback by Exploring the Different Feedback Sources and Collection Structure ZHANG Junlin SUN Le

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Source URL: trec.nist.gov

Language: English - Date: 2006-02-21 09:28:34
258Natural language processing / Spamming / Searching / Text Retrieval Conference / Spam / Email spam / Full text search / Anchor text / Bag of words model / Information science / Information retrieval / Science

Reducing Redundancy with Anchor Text and Spam Priors Marijn Koolen1 1 Jaap Kamps1,2

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Source URL: trec.nist.gov

Language: English - Date: 2012-02-03 09:41:36
259Full text search / Document retrieval / Vector space model / Precision and recall / Search engine / Text Retrieval Conference / Fuzzy retrieval / IR evaluation / Information science / Information retrieval / Science

Access to Legal Documents: Exact Match, Best Match, and Combinations Avi Arampatzis1 1 Jaap Kamps1,2

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Source URL: trec.nist.gov

Language: English - Date: 2008-02-11 09:05:29
260Natural language processing / Computational linguistics / Text Retrieval Conference / Relevance feedback / Relevance / Precision and recall / Concept Search / Information science / Information retrieval / Science

Overview of the TREC 2003 Robust Retrieval Track Ellen M. Voorhees National Institute of Standards and Technology Gaithersburg, MDAbstract The robust retrieval track is a new track in TRECThe goal of the tr

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Source URL: trec.nist.gov

Language: English - Date: 2004-03-25 14:58:22
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