Chinese named entity recognition system using statistics-based and rules-based method
Zeng Hua-lin · Jisuanji gongcheng · 2005
This paper presented a Chinese named entity recognition system that combined the statistics-based and rules-based 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.