Intelligent Question-answering System for Chinese Language Based on Frame Semantics

摘要：

Intelligent question-answering system is a new kind of information retrieval system for processing natural language. This paper builds an intelligent question-answering system based on Chinese language, proposes the feature labeling method by multi-level feature labeling and the rule of dynamic role conversion, then we use the converted labeling list to create filled fields semantic query frame. Because of the convenience of inverted index and the semantic property described by ontology resources, this paper combines ontology resources and inverted index to search information. Then this paper utilizes semantic query frame, contents of ontology resources and question answering pattern to build a full answer for user eventually and returns the answer to users.

关键词： Multi-level feature labeling Semantic query Ontology resource Intelligent question-answering system Hownet

作者: Li Sui Qianqian Wang Gengchen Shi Xingyu Yuan

作者单位: National Lab of Mechatronic Engineering and Control Beijing Institute of Technology Beijing, China Prosten Technology Holdings Limited Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 341-344

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）