Chinese named entity recognition system using statistics-based and rules-based method
一个统计与规则相结合的中文命名实体识别系统

This paper presented a Chinese named entity recognition system that combined the statistics-based and rulesbased method, The whole process was divided into two steps. First to use the hidden Markov model for part-of-speech tagging, and then made use of match rules to amend and convert the result of the HMM step. The system also made an attempt at context-sensitive Chinese named entity recognition. In a named entity test organized by the 863 program, the precision, recall and F-score of the system reach 81.93%, 78.20% and 80.02% respectively.