DocumentCode :
2700422
Title :
Zero pronoun resolution in Chinese using machine learning plus shallow parsing
Author :
Yang, Weijie ; Dai, Ruwei ; Cui, Xia
Author_Institution :
Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
20-23 June 2008
Firstpage :
905
Lastpage :
910
Abstract :
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.
Keywords :
learning (artificial intelligence); natural language processing; text analysis; Chinese text; antecedent estimation; automatic main verbs identification; machine learning; shallow parsing; syntax hierarchies; verbal logic valence; zero pronoun recognition; zero pronoun resolution; Automatic logic units; Automation; Frequency; Gold; Intelligent systems; Laboratories; Learning systems; Machine learning; Natural languages; Research and development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
Type :
conf
DOI :
10.1109/ICINFA.2008.4608128
Filename :
4608128
Link To Document :
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