Using encyclopedic knowledge for automatic topic identification

  • Authors:
  • Kino Coursey;Rada Mihalcea;William Moen

  • Affiliations:
  • University of North Texas and Daxtron Laboratories, Inc.;University of North Texas;University of North Texas

  • Venue:
  • CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
  • Year:
  • 2009

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Abstract

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.