Title :
Chinese definitional question answering based on soft pattern and ontology
Author :
Jia, Ke-liang ; Fan, Xiao-Zhong ; Xu, Jin-zhong
Author_Institution :
Beijing Inst. of Technol., Beijing
Abstract :
A typical definitional question answering system extracts definition sentences from multiple documents and summarizes the sentences into definitions. In this paper, a new approach is proposed to extract definitional sentences from Web corpus, which is based on soft pattern and ontology. Soft pattern is used to judge whether sentences are definitional with syntactic analysis and ontology can deduce the definitional one with semantic information. The experimental result validates the effectiveness of this method, and the precision reaches 32.7% and is 5.2% higher than the method only based on soft pattern.
Keywords :
Internet; natural language processing; ontologies (artificial intelligence); query processing; Chinese definitional question answering; Web corpus; definition sentences extraction; ontology; soft pattern; syntactic analysis; Data mining; Information analysis; Information retrieval; Natural languages; Notice of Violation; Ontologies; Pattern analysis; Pattern matching; Pattern recognition; Wavelet analysis; HowNet; definitional question answering; ontology; soft pattern;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
DOI :
10.1109/ICWAPR.2007.4421613
