We present a generative model for unsupervised coreference resolution that views coreference as an EM clustering process. For comparison purposes, we revisit Haghighi and Klein's (2007) fully-generative Bayesian model for unsupervised coreference resolution, discuss its potential weaknesses and consequently propose three modifications to their model. Experimental results on the ACE data sets show that our model outperforms their original model by a large margin and compares favorably to the modified model.
REF presented a generative model that views coreference as an EM clustering process.
Unsupervised Models for Coreference Resolution
Conference On Empirical Methods In Natural Language Processing
Computer Science