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Unsupervised Models for Coreference Resolution

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If you have a question about this talk, please contact Diarmuid Ó Séaghdha.

At this session of the NLIP Reading Group we’ll be discussing the following paper:

Vincent Ng. 2008. Unsupervised Models for Coreference Resolution. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP-08).

Abstract: 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.

This talk is part of the Natural Language Processing Reading Group series.

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