A Framework-Based Approach for the Automatic Identification of Proper Nouns

In this paper,a method based upon the framework structure is proposed to identify proper nouns.First,the properties of corpus are defined according to the characteristics of proper nouns and their contexts.Then the concept of attribute point is put forward,and rules are collected through an error-driven learning algorithm after labeling train corpus for the first time.Finally,rules and instances are assembled together to identify proper nouns in the texts.The results of experiments show that the precision and the recall rate are up to 92.3% and 80.4% respectively,which illuminate that our method is effective in identifying proper nouns.