Automatic evaluation of text coherence: models and representations

  • Authors:
  • Mirella Lapata;Regina Barzilay

  • Affiliations:
  • School of Informatics, University of Edinburgh, Edinburgh, UK;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA

  • Venue:
  • IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
  • Year:
  • 2005

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Abstract

This paper investigates the automatic evaluation of text coherence for machine-generated texts. We introduce a fully-automatic, linguistically rich model of local coherence that correlates with human judgments. Our modeling approach relies on shallow text properties and is relatively inexpensive. We present experimental results that assess the predictive power of various discourse representations proposed in the linguistic literature. Our results demonstrate that certain models capture complementary aspects of coherence and thus can be combined to improve performance.