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

Volume

2

fYear

2009

fDate

18-19 July 2009

Firstpage

623

Lastpage

626

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on

Conference_Location

Shenzhen

Print_ISBN

978-0-7695-3699-6

Type

conf

DOI

10.1109/APCIP.2009.287

Filename

5197275