Beyond DICE: measuring the quality of a referring expression

Kees van Deemter, Albert Gatt

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution


This paper discusses ways in which the similarity between the contents of two referring expressions can be measured. Similarity metrics of this kind are essential when expressions generated by an algoritm are compared against the ones produced by human speakers, for example as part of an experiment in which referring expressions are elicitated. We discuss arguments for and against different metrics, taking our departure from the well-known Dice metric.
Original languageEnglish
Title of host publicationProceedings of "Production of Referring Expressions''
PublisherCognitive Science Society
Number of pages3
Publication statusPublished - Jul 2009
EventPRE-CogSci 2009 - Amsterdam, Netherlands
Duration: 29 Jul 200929 Jul 2009


ConferencePRE-CogSci 2009


  • DICE
  • generation of referring expressions
  • evaluation metrics


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