Zero Pronoun Resolution in Chinese Using Machine Learning plus Shallow Parsing

摘要：

This paper proposed a new method to detect and resolve zero pronouns in Chinese text with integrated automatic main verbs identification,verbal logic valence and machine learning approach.Zero pronoun recognition was treated as the problem of finding missing verbs logic arguments.First,based on automatic main verbs identification,syntax hierarchies were analysed.Second, combining the syntax hierarchy and verbal logic valence theory,zero pronouns were identified.And then using a machine learning approach,zero pronouns were resolved. Experimental results on 150 news articles indicated that the precision and recall of zero pronoun detection is 72.9%and 92.7%respectively,and the accuracy of antecedent estimation is 64.3%..These results demonstrated this zero pronouns identifying and resolving method works effectively.

作者: Weijie Yang Ruwei Dai Xia Cui

作者单位: Key Laboratory of Complex Systems and Intelligence Science Institute of Automation,Chinese Academy of Sciences Beijing ,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 905-910

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）