Concept Search

Results: 312



#Item
61MPEG / MPEG-7 / Visual descriptors / TRECVID / Concept Search / Video search engine / Electronic engineering / Information / Science / Information retrieval / Multimedia / Telecommunications

Microsoft Word - Final Thesis

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Source URL: dspace.fsktm.um.edu.my

Language: English - Date: 2011-04-29 02:50:15
62Document retrieval / Query expansion / Precision and recall / Concept Search / Information science / Information retrieval / Relevance feedback

TREC-9 Cross Language, Web and Question-Answering Track Experiments using PIRCS K.L. Kwok, L. Grunfeld, N. Dinstl and M. Chan Computer Science Department, Queens College, CUNY Flushing, NY 11367

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Source URL: trec.nist.gov

Language: English - Date: 2001-02-14 11:24:23
63Natural language processing / Computational linguistics / Question answering / Open domain question answering / Document retrieval / Search engine indexing / Text Retrieval Conference / Concept Search / Information science / Information retrieval / Science

The Alyssa System at TREC QA 2007: Do We Need Blog06? Dan Shen Michael Wiegand Andreas Merkel Stefan Kazalski Sabine Hunsicker Jochen L. Leidner∗ Dietrich Klakow Spoken Language Systems Saarland University DSaar

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Source URL: trec.nist.gov

Language: English - Date: 2007-12-18 11:21:11
64Relevance 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
65Relevance 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
66Natural 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
67Relevance feedback / Relevance / Tf*idf / Precision and recall / Cluster analysis / Text Retrieval Conference / Concept Search / Information science / Information retrieval / Science

Clairvoyance Corporation Experiments in the TREC 2003 High Accuracy Retrieval from Documents (HARD) Track James G. Shanahan, Jeffrey Bennett, David A. Evans, David A. Hull, Jesse Montgomery Clairvoyance Corporation, Pitt

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Source URL: trec.nist.gov

Language: English - Date: 2004-02-12 14:06:50
68Text Retrieval Conference / Cross-language information retrieval / Relevance / Query expansion / Search engine indexing / Concept Search / Information science / Information retrieval / Relevance feedback

CLARIT TREC-8 CLIR Experiments Yan Qu, Hongming Jin, Alla N. Eilerman, Emilia Stoica, David A. Evans CLARITECH Corporation In the TREC-8 cross-language Abstract information retrieval (CLIR) track, we adopted the

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Source URL: trec.nist.gov

Language: English - Date: 2000-02-04 12:44:48
69Higher education / Education in South Africa / Academia / Association of Commonwealth Universities / Nelson Mandela Metropolitan University / Cape Peninsula University of Technology

Basic guide on general steps to follow for a new invention 1. Prior art search This means you need to see whether someone else has not already thought of your concept. You need to think about how your product / service /

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Source URL: www.techtransfer.csir.co.za

Language: English - Date: 2014-06-12 08:27:54
70Relevance feedback / Text Retrieval Conference / Precision and recall / Concept Search / Full text search / Query expansion / Relevance / Document retrieval / Vector space model / Information science / Information retrieval / Science

Overview of the TREC 2007 Legal Track Stephen Tomlinson, Open Text Corporation, Ottawa, Ontario, Canada Douglas W. Oard, College of Information Studies and Institute for Advanced Comput

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Source URL: trec.nist.gov

Language: English - Date: 2008-05-01 08:56:46
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