Automatic Identification of Chinese Maximum Noun Phrase Based on Statistics and Rules
Jie Chi Yang · Zhongwen xinxi xuebao · 2008
By analyzing the characteristics of Chinese maximum noun phrase,the research proposes an automatic identification method of Chinese maximum noun phrase based on statistics and rules.Firstly,the feature set is empirically extracted by the combination of word and part of speech,and a conditional random fields(CRF) model is established for automatic identification.Then a rule base is constructed according to the boundary information and inner structure knowledge of maximum noun phrase for a post-processing module.The experimental results show the method is efficient for identifying Chinese maximum noun phrase,with a 90.2 % F-score in the open test.