Chinese Coreference Resolution Method Based on Feature Respective Selection Strategy

This paper studies different features based up on the type of noun phrase in Chinese coreference resolution based on machine learning,and proposes features selection strategy to be applied to coreference resolution,the approach selects pronouns and other noun phrases features respectively,so this method can reduce some "noise" and utilize features effectively.Experimental results show that the method can improve the performance of coreference resolution system,and F-measure reaches 80.72%.