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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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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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 October 22, 2017),
University of North Texas Libraries, Digital Library, digital.library.unt.edu;
crediting UNT College of Engineering.