DocumentCode
2833054
Title
Chinese complex question analysis based on event extraction
Author
Xiaoming, Liu ; Li, Liu
Author_Institution
Sch. of Comput., Beijing Inst. of Technol., Beijing, China
Volume
8
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Question analysis is one of the important components in Question-Answering system. Since the existence of events, complex question analysis becomes extremely difficult. Using semantic role labeling based on CRFs, event extraction provides effective support to formal description for semantic information of the complex questions. The semantic model built according to this method improves the accuracy of the information retrieval and answer extraction. Experimental results show the effectiveness of this method.
Keywords
information retrieval; ontologies (artificial intelligence); Chinese complex question analysis; answer extraction; event extraction; formal description; information retrieval; question-answering system; semantic role labeling; Accuracy; Monitoring; complex question; component; conditional random fields; event;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620360
Filename
5620360
Link To Document