While this ILP approach and Ng's (2004) approach to improving the output of an anaphoricity classifier both result in increased coreference performance, they have complementary strengths and weaknesses.
ng's approach can directly optimize the desired coreference evaluation metric, but by treating the coreference system as a black box during the optimization process, it does not exploit the potentially useful pairwise probabilities provided by the coreference classifier.