DocumentCode :
2492035
Title :
A way of Chinese Question Analysis and its’ implement
Author :
Liu, Chaotao ; Li, Zushu
Author_Institution :
Inst. of Intell. Autom., Chongqing Univ., Chongqing
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
5376
Lastpage :
5380
Abstract :
Question analysis is the primary task of question answering system. Performing Interrogative phrase classification based on the chinese interrogative phrases and their usages before parsing words can reduce the influence of the parsing errors to question analysis. Standard question notation (SQN), which composed of question classes denotation and keywords denotation, was put forward to describe a concrete question sentence, which can make the question analysis more simply. All of the process of the question analysis was described as follow: identifies the IPC, parses words, identifies the question class and gets the SQN based on the sentencepsilas IPC and matching the sentence styles, acquires the answer patterns and rewritten sentences of questions based on SQN. The result of experiments shows that the question analysis implemented by this way is effective.
Keywords :
classification; grammars; natural language processing; Chinese interrogative phrases; Chinese question analysis; interrogative phrase classification; keywords denotation; parsing errors; parsing words; question answering system; question classes denotation; question sentence; rewrited sentences; sentence styles; standard question notation; Artificial intelligence; Automation; Automotive engineering; Chaos; Concrete; Error analysis; Intelligent control; Intelligent vehicles; Mechatronics; Performance analysis; Interrogative Phrase Classification (IPC); Notation(SQN); Question Analysis; Question Answering System; Standard Question;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593805
Filename :
4593805
Link To Document :
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