Title :
Method and research on Chinese predicate recognition based on feature
Author :
Wang, Chengmin ; Peng, Jun
Author_Institution :
Coll. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
Abstract :
This paper puts forward n method of Chinese predicate recognition based on the features study. And according to the sentence´s predicate center coming out of features, we obtain the characteristic knowledge of the predicate based on the language bank of artificial welled marks, and make use of characteristic knowledge to identify predicate. Finally, In the open test the accuracy rate of Chinese predicate recognition closes to 84%, and in the closed test the accuracy rate of Chinese predicate recognition closes to 86%.
Keywords :
natural language processing; pattern recognition; Chinese predicate recognition; artificial welled marks; language bank; sentence predicate; Natural Language Processing; Predicate recognition; Shallow Paring;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554788
