Chinese Question Classification Using Combination Approach

摘要：

Question answering system can provides a precise and concise answer to a natural language query. Question classification is very important for question answering, and the result of question classification affects the quality of question answering system directly. This paper presents a combination method for question classification based on pattern and semantic resource. We choose the interrogative words, question focus words and their first sememes as classification feature to realize fast question classification. Experimental results demonstrate the effectiveness of our method which attains the expected effects.

作者: Dongfeng CAI Yu BAI Yanju DONG Lei LIU

作者单位: Knowledge Engineering Research Center, Shenyang Institute of Aeronautical Engineering Shenyang, 110034, China

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）