Graph-Cut-Based Anaphoricity Determination for Coreference Resolution

نویسنده

  • Vincent Ng
چکیده

Recent work has shown that explicitly identifying 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 competing approaches by comparing their effectiveness in improving a learning-based coreference system on the ACE data sets.

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تاریخ انتشار 2009