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SUMMARY:Unsupervised Models for Coreference Resolution - Andreas Vlachos (
 University of Cambridge)
DTSTART:20090216T123000Z
DTEND:20090216T133000Z
UID:TALK17060@talks.cam.ac.uk
CONTACT:Diarmuid Ó Séaghdha
DESCRIPTION:At this session of the NLIP Reading Group we'll be discussing 
 the following paper:\n\nVincent Ng. 2008. "Unsupervised Models for Corefer
 ence Resolution":http://aclweb.org/anthology-new/D/D08/D08-1067.pdf. In Pr
 oceedings of the 2008 Conference on Empirical Methods in Natural Language 
 Processing (EMNLP-08).\n\n*Abstract:*\nWe present a generative model for u
 nsupervised coreference resolution that views coreference\nas an EM cluste
 ring process. For comparison purposes\, we revisit Haghighi and Klein’s 
 (2007) fully-generative Bayesian model for unsupervised coreference resolu
 tion\, discuss its potential weaknesses and consequently propose three mod
 ifications to their model. Experimental results on the ACE data sets show 
 that our model outperforms their original model by a large margin and comp
 ares\nfavorably to the modified model.
LOCATION:GS15\, Computer Laboratory
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