DocumentCode :
2911239
Title :
Shallow Semantic Analysis of Chinese Question in Book Information Domain
Author :
Hao, Guo ; Junjie, Chen ; Tao, Guo
Author_Institution :
Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China
Volume :
1
fYear :
2009
fDate :
21-22 Nov. 2009
Firstpage :
103
Lastpage :
107
Abstract :
Question analysis is an important part in question and answer system. The article expounds the difference of Chinese question analysis technology between open domain and restricted domain. It also includes discussion of train of thought of Chinese question analysis in book information domain. Nowadays Chinese syntax analysis technology can\´t reach the practical application level, we propose Chinese question shallow semantic analysis technology based on semantic chunk. Supported by Science and Technology Department of Shanxi Province international cooperation and exchange project "China-Japan Cooperation Research on Chinese Intelligent Interactive Question and Answer System Based on Web "(Grant No.2009g18), Chinese question shallow semantic analysis technology is systematically and thoroughly studied, including definition of semantic chunk, derivation rules and generation technology of question vector. Experiments prove that this method is feasible within a sparse corpus scale.
Keywords :
natural language processing; Chinese question; Chinese syntax analysis technology; book information domain; derivation rules; question vector; semantic chunk; shallow semantic analysis; sparse corpus scale; Books; Computer networks; Data mining; Educational institutions; Information analysis; Information technology; Intelligent networks; Natural languages; Software; Tagging; Chinese question analysis; nature language process; question and answer system; shallow semantic analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
Type :
conf
DOI :
10.1109/IITA.2009.172
Filename :
5369074
Link To Document :
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