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» Supervised Models for Coreference Resolution
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EMNLP
2009
13 years 2 months ago
Supervised Models for Coreference Resolution
Traditional learning-based coreference resolvers operate by training a mentionpair classifier for determining whether two mentions are coreferent or not. Two independent lines of ...
Md. Altaf ur Rahman, Vincent Ng
EMNLP
2010
13 years 2 months ago
A Multi-Pass Sieve for Coreference Resolution
Most coreference resolution models determine if two mentions are coreferent using a single function over a set of constraints or features. This approach can lead to incorrect deci...
Karthik Raghunathan, Heeyoung Lee, Sudarshan Ranga...
EMNLP
2008
13 years 6 months ago
Joint Unsupervised Coreference Resolution with Markov Logic
Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi...
Hoifung Poon, Pedro Domingos
COLING
2002
13 years 4 months ago
Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution
We present a supervised learning approach to identification of anaphoric and non-anaphoric noun phrases and show how such information can be incorporated into a coreference resolu...
Vincent Ng, Claire Cardie
NAACL
2007
13 years 6 months ago
Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming
Standard pairwise coreference resolution systems are subject to errors resulting from their performing anaphora identification as an implicit part of coreference resolution. In t...
Pascal Denis, Jason Baldridge