UNT 2005 TREC QA Participation: Using Lemur as IR Search Engine

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Description

This paper reports the authors' TREC 2005 QA participation. The authors' QA system Eagle QA developed last year was expanded and modified for this year's QA experiments. Particularly, the authors used Lemur 4.1 as the Information Retrieval (IR) Engine this year to find documents that may contain answers for the test questions from the document collection. The authors' result shows Lemur did a reasonable job on finding relevant documents. But certainly there is room for further improvement.

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7 p.

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Chen, Jiangping; Yu, Ping & Ge, He 2005.

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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 108 times , with 9 in the last month . More information about this paper can be viewed below.

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Description

This paper reports the authors' TREC 2005 QA participation. The authors' QA system Eagle QA developed last year was expanded and modified for this year's QA experiments. Particularly, the authors used Lemur 4.1 as the Information Retrieval (IR) Engine this year to find documents that may contain answers for the test questions from the document collection. The authors' result shows Lemur did a reasonable job on finding relevant documents. But certainly there is room for further improvement.

Physical Description

7 p.

Source

  • Fourteenth Text Retrieval Conference (TREC), 2005, Gaithersburg, Maryland, United States

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UNT Scholarly Works

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  • 2005

Added to The UNT Digital Library

  • Aug. 7, 2012, 1:52 p.m.

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  • June 17, 2013, 4:55 p.m.

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Chen, Jiangping; Yu, Ping & Ge, He. UNT 2005 TREC QA Participation: Using Lemur as IR Search Engine, paper, 2005; (digital.library.unt.edu/ark:/67531/metadc96841/: accessed December 12, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.