Using Encyclopedic Knowledge for Automatic Topic Identification

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This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.

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9 p.

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Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E. May 2009.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 185 times , with 4 in the last month . More information about this paper can be viewed below.

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Description

This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.

Physical Description

9 p.

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  • Thirteenth Annual Conference on Natural Language Learning (CoNLL), 2009, Boulder, Colorado, United States

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UNT Scholarly Works

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  • May 2009

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  • Jan. 31, 2011, 2:01 p.m.

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  • April 28, 2014, 2:26 p.m.

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Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E. Using Encyclopedic Knowledge for Automatic Topic Identification, paper, May 2009; [Stroudsburg, Pennsylvania]. (digital.library.unt.edu/ark:/67531/metadc31022/: accessed September 24, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.