DocumentCode
2452293
Title
Syntactic structure feature analysis and classification method research
Author
Zhan, Wenlian ; Shen, Zhulin
Author_Institution
Sch. of Foreign Languages, Hunan Int. Econ. Univ., Changsha, China
fYear
2012
fDate
16-18 July 2012
Firstpage
1135
Lastpage
1140
Abstract
Characteristics and difficulties of Chinese natural language processing, as well as the appropriate language to deal with the basic resources relative lack of some mature foreign technology and research results can not be applied directly to the Chinese question answering system. To this end, the question answering system for Chinese facts, presents a new extraction algorithm based on the characteristics analysis of syntactic structure and classification of the answer, the answer extraction problem as a classification of the candidate answers, upcoming candidate answer classified as correct and error categories. First, the method according to the types of problems corresponding to the type of candidate answers extracted from the text fragments candidate answer in the sentence simple features and syntactic structure characteristics; then take advantage of these features of the training classifier; trained classifier to distinguish the candidate answer for the correct answer.
Keywords
natural language processing; pattern classification; text analysis; Chinese natural language processing; Chinese question answering system; extraction algorithm; syntactic structure feature analysis method research; syntactic structure feature classification method research; text fragments; Classification algorithms; Feature extraction; Semantics; Speech; Standards; Syntactics; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-0173-2
Type
conf
DOI
10.1109/ICALIP.2012.6376787
Filename
6376787
Link To Document