Realization on Chinese coreference resolution system based on maximum entropy model
基于最大熵模型的中文指代消解系统实现*

This paper realized a Chinese coreference resolution system based on maximum entropy model. Using the information obtained from a pipeline of natural language processing(NLP) modules, this paper extracted 12 features from raw texts, and trained a maximum-entropy-based classifier. Then tested it on ACE05 bnews corpus. The results show that this system is a good system for Chinese coreference resolution research.