Chinese definitional question answering based on soft pattern and ontology

被引：0
|
作者：
Jia, Ke-Liang [1 ]
Fan, Xiao-Zhong [1 ]
Xu, Jin-Zhong [1 ]
机构：
[1] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
来源：
2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年
关键词：
definitional question answering; soft pattern; ontology; HowNet;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：1187 / 1191
页数：5
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