Paper: Graph-Cut-Based Anaphoricity Determination for Coreference Resolution

ACL ID N09-1065
Title Graph-Cut-Based Anaphoricity Determination for Coreference Resolution
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors
  • Vincent Ng (University of Texas at Dallas, Richardson TX)

Recent work has shown that explicitly iden- tifying and filtering non-anaphoric mentions prior to coreference resolution can improve the performance of a coreference system. We present a novel approach to this task of anaphoricity determination based on graph cuts, and demonstrate its superiority to com- peting approaches by comparing their effec- tiveness in improving a learning-based coref- erence system on the ACE data sets.