Corpus ID: 372666

Unsupervised Coreference Resolution in a Nonparametric Bayesian Model

  title={Unsupervised Coreference Resolution in a Nonparametric Bayesian Model},
  author={A. Haghighi and D. Klein},
  • A. Haghighi, D. Klein
  • Published in ACL 2007
  • Computer Science
  • We present an unsupervised, nonparametric Bayesian approach to coreference resolution which models both global entity identity across a corpus as well as the sequential anaphoric structure within each document. While most existing coreference work is driven by pairwise decisions, our model is fully generative, producing each mention from a combination of global entity properties and local attentional state. Despite being unsupervised, our system achieves a 70.3 MUC F1 measure on the MUC-6 test… CONTINUE READING
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