We have provided two ILP formulations for resolving coreference and demonstrated their superiority to a pairwise classifier that makes its coreference assignments greedily.
we have also shown that ILP provides a natural means to express the use of both anaphoricity classification and coreference classification in a single system, and that doing so provides even further performance improvements, specifically f -score improvements of 5.3%, 4.9%, and 3.7% over the base coreference classifier on the ACE datasets.