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BLANC: Implementing the Rand index for coreference evaluation

  • M. RECASENS (a1) and E. HOVY (a2)

This paper addresses the current state of coreference resolution evaluation, in which different measures (notably, MUC, B3, CEAF, and ACE-value) are applied in different studies. None of them is fully adequate, and their measures are not commensurate. We enumerate the desiderata for a coreference scoring measure, discuss the strong and weak points of the existing measures, and propose the BiLateral Assessment of Noun-Phrase Coreference, a variation of the Rand index created to suit the coreference task. The BiLateral Assessment of Noun-Phrase Coreference rewards both coreference and non-coreference links by averaging the F-scores of the two types, does not ignore singletons – the main problem with the MUC score – and does not inflate the score in their presence – a problem with the B3 and CEAF scores. In addition, its fine granularity is consistent over the whole range of scores and affords better discrimination between systems.

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E. Bengtson , and D. Roth 2008. Understanding the value of features for coreference resolution. In Proceedings of EMNLP, Honolulu, HI, pp. 294303.

A. Haghighi , and D. Klein 2009. Simple coreference resolution with rich syntactic and semantic features. In Proceedings of EMNLP, Suntec, Singapore, pp. 11521161.

H. Poon , and P. Domingos 2008. Joint unsupervised coreference resolution with Markov logic. In Proceedings of EMNLP, Honolulu, HI, pp. 650659.

A. Rahman , and V. Ng 2009. Supervised models for coreference resolution. In Proceedings of EMNLP, Suntec, Singapore, pp. 968977.

V. Stoyanov , N. Gilbert , C. Cardie , and E. Riloff 2009. Conundrums in noun phrase coreference resolution: making sense of the state-of-the-art. In Proceedings of ACL-IJCNLP, Suntec, Singapore, pp. 656664.

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Natural Language Engineering
  • ISSN: 1351-3249
  • EISSN: 1469-8110
  • URL: /core/journals/natural-language-engineering
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