Automatic Evaluation of Information Ordering: Kendall's Tau

  • Authors:
  • Mirella Lapata

  • Affiliations:
  • -

  • Venue:
  • Computational Linguistics
  • Year:
  • 2006

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Abstract

This article considers the automatic evaluation of information ordering, a task underlying many text-based applications such as concept-to-text generation and multidocument summarization. We propose an evaluation method based on Kendall's τ, a metric of rank correlation. The method is inexpensive, robust, and representation independent. We show that Kendall's τ correlates reliably with human ratings and reading times.