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
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;
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
DOI :
10.1109/ICCASM.2010.5620360
