Paper: Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation

ACL ID D09-1102
Title Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

Knowledge of noun phrase anaphoricity might be profitably exploited in coreference resolu- tion to bypass the resolution of non-anaphoric noun phrases. However, it is surprising to no- tice that recent attempts to incorporate auto- matically acquired anaphoricity information into coreference resolution have been some- what disappointing. This paper employs a global learning method in determining the anaphoricity of noun phrases via a label propagation algorithm to improve learning- based coreference resolution. In particular, two kinds of kernels, i.e. the feature-based RBF kernel and the convolution tree kernel, are employed to compute the anaphoricity similarity between two noun phrases. Experi- ments on the ACE 2003 corpus demonstrate the effectiveness of our method in anaph...