Title :
Research of Complex Question Parsing Based on Condition Extraction
Author :
Pang, Xiuling ; Jia, Keliang
Author_Institution :
Dept. of Educ. Sci. & Technol., Weifang Univ., Weifang, China
Abstract :
To the complex condition question, the parsing algorithm based on condition extraction is proposed. The complex condition question includes two parts: the condition description part and the question focus description part. The two parts are processed separately and then merged to obtain the complex condition question semantic representation. The algorithm can objectively reveal the structure essence of the complex condition question. The experimental result shows that this algorithm has obtained certain effect in the restricted domain question answering system.
Keywords :
grammars; information retrieval; pattern matching; complex condition question semantic representation; complex question parsing algorithm; condition description part; condition extraction; pattern matching; question answering system; question focus description part; Data mining; Databases; Educational technology; Information management; Information processing; Pattern matching; Speech; complex condition question parsing; condition extraction; pattern matching;
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
DOI :
10.1109/APCIP.2009.287