Research on Me-based Chinese NER model

This paper presents a hybrid pattern for Chinese Name Entity Recognition based on Maximum Entropy model. Firstly, Maximum Entropy model is an outstanding statistical model for its good integration of various constraints and its compatibility to Chinese Named Entity Recognition. Secondly, local features and global features are integrated in the hybrid model to get high performance. Thirdly, in order to reduce the searching space and improve the processing efficiency, heuristic human knowledge is introduced into the model, which could increase the recognition performance significantly. From the experimental results on Peoplepsilas Daily corpus, it can be observed that the hybrid model is an effective pattern to combine statistical model and heuristic human knowledge.