Graph-Cut-Based Anaphoricity Determination for Coreference Resolution. In: NAACL 2009: Human Language Technologies: The 2009

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.