Text Retrieval Conference

Results: 814



#Item
741Information / Relevance / Precision and recall / Text Retrieval Conference / IR evaluation / Information science / Information retrieval / Science

Trec-NB-ChrisHarris-2012 v4

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:21
742Text Retrieval Conference / XML-Retrieval / Relevance feedback / Relevance / Search engine indexing / Precision and recall / Document retrieval / Language model / Concept Search / Information science / Information retrieval / Science

Searching for Entities: When Retrieval Meets Extraction Qi Li, Daqing He School of Information Sciences, University of Pittsburgh Pittsburgh, Pennsylvania, U. S. {qili, daqing}@sis.pitt.edu

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Source URL: trec.nist.gov

Language: English - Date: 2011-03-01 11:37:39
743Text Retrieval Conference / Relevance feedback / Hyperlink / PageRank / HTML / Relevance / Information science / Information retrieval / Science

Microsoft Research at TREC 2010 Web Track Nick Craswell, Dennis Fetterly, Marc Najork Microsoft Abstract This paper describes our entry into the TREC 2010 Web track. We extracted and ranked results for both

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Source URL: trec.nist.gov

Language: English - Date: 2011-03-01 11:54:14
744Information / Natural language processing / Bioinformatics / Precision and recall / Text Retrieval Conference / Relevance / Twitter / Information science / Science / Information retrieval

Measuring Robustness with First Relevant Score in the TREC 2012 Microblog Track Stephen Tomlinson OpenText Ottawa, Ontario, Canada [removed]

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:20
745Text Retrieval Conference / Named-entity recognition / Search engine indexing / Precision and recall / Tf*idf / Relevance / Lemur Project / Information science / Information retrieval / Science

PRIS at TREC 2010: Related Entity Finding Task of Entity Track Zhanyi Wang, Chunsong Tang, Xueji Sun, Haoyi Ouyang, Ru Lan, Weiran Xu, Guang Chen, Jun Guo School of Information and Communication Engineering Beijing Unive

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Source URL: trec.nist.gov

Language: English - Date: 2011-02-23 10:42:23
746Query expansion / Document retrieval / Relevance / Tf*idf / Lucene / Search engine indexing / Concept Search / LGTE / Information science / Information retrieval / Text Retrieval Conference

Three Questions about Clinical Information Retrieval Stephen Wu, James Masanz, Ravikumar K.E., Hongfang Liu Mayo Clinic, Rochester, MN 1

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:19
747Enterprise search / Information extraction / Search engine indexing / Query expansion / Google Search / Index term / Precision and recall / Text Retrieval Conference / Information science / Information retrieval / Science

ECIR – a Lightweight Approach for Entity-centric Information Retrieval Wojciech Barczynski, Falk Brauer Alexander Hold, Michael Leben, Benjamin Emde, Christoph Thiele, Felix Naumann Hasso-Plattner-Institut

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Source URL: trec.nist.gov

Language: English - Date: 2011-02-23 10:42:23
748Text Retrieval Conference / PageRank / Anchor text / Spam / Precision and recall / Search engine indexing / Wikipedia / Relevance feedback / Full text search / Information science / Information retrieval / Science

Using Anchor Text, Spam Filtering and Wikipedia for Web Search and Entity Ranking Jaap Kamps1,2 1 Rianne Kaptein1

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Source URL: trec.nist.gov

Language: English - Date: 2011-03-01 11:32:35
749Relevance feedback / Vector space model / Query expansion / Relevance / Tf*idf / Okapi BM25 / Text Retrieval Conference / Document retrieval / Recommender system / Information science / Information retrieval / Science

Mining Specific and General Features in Both Positive and Negative Relevance Feedback QUT E-Discovery Lab at the TREC’10 Relevance Feedback Track Abdulmohsen Algarni, Yuefeng Li, Xiaohui Tao, Computer Science Disciplin

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Source URL: trec.nist.gov

Language: English - Date: 2011-03-01 11:22:31
750Statistics / Relevance feedback / Text Retrieval Conference / Precision and recall / Naive Bayes classifier / Relevance / Linear classifier / Tf*idf / Logistic regression / Information science / Information retrieval / Science

Machine Learning for Information Retrieval: TREC 2009 Web, Relevance Feedback and Legal Tracks Gordon V. Cormack and Mona Mojdeh Cheriton School of Computer Science University of Waterloo 1

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Source URL: trec.nist.gov

Language: English - Date: 2010-05-04 11:49:38
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