UNT at TREC 2004: Question Answering Combining Multiple Evidences

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This paper discusses Question Answering (QA) combining multiple evidences.

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8 p.

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Chen, Jiangping; Ge, He; Wu, Yan & Jiang, Shikun 2004.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Information to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 113 times , with 21 in the last month . More information about this paper can be viewed below.

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Description

This paper discusses Question Answering (QA) combining multiple evidences.

Physical Description

8 p.

Notes

Abstract: This paper discusses Question Answering (QA) combining multiple evidences. QA aims at identifying answers to users' natural language questions. A QA system can release the users from digesting large amounts of text in order to locate particular facts or numbers. The research has drawn great attention from several disciplines such as information retrieval, information extraction, natural language processing, and artificial intelligence. TREC QA track has provided comparable QA system evaluation on a set of test questions since 1999. The degree of difficulty of the test questions has increased substantially in recent two years, which push the research toward applying more sophisticated strategies and better understanding of English texts. This article discusses this research.

Source

  • Thirteenth Text Retrieval Conference (TREC), 2004, Gaithersburg, Maryland, United States

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  • 2004

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  • Aug. 7, 2012, 1:52 p.m.

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  • April 28, 2014, 3:53 p.m.

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Chen, Jiangping; Ge, He; Wu, Yan & Jiang, Shikun. UNT at TREC 2004: Question Answering Combining Multiple Evidences, paper, 2004; (digital.library.unt.edu/ark:/67531/metadc96842/: accessed November 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.