Parsing Chinese Questions Based on Conceptual Network

摘要：

We present a new approach to analyze Chinese questions based on a semantic knowledge base called Conceptual Network (ConNet). ConNet is composed of concepts, each of which describes the meaning of a Chinese word. Since there are no word boundaries in Chinese, we firstly segment each question into words, and then transform all the words into an ordered concept list. After that, an algorithm is proposed to combine the concepts into one semantic structure. Because the semantic structure carries plentiful semantic information, which is organized in a structured way, the parsing result can be well used in Question Answering systems.

关键词： Conceptual Network Semantic parsing

作者: Ren He Zeng Jun-fang Yang Yi-ping

作者单位: Research Center of Integrated Information System, Institute of Automation, CAS

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 935-938

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）