Research on Topic Relevancy of Sentences Based on HowNet Semantic Computation

摘要：

In Automatic Question Answering System, topic identification is usually based on relevancy computation of sentences. This paper introduces an approach to compute topic relevancy. Using the semantic computation in HowNet, the relevancy of sentences can be calculated. The topic relevancy of sentences can be calculated through the computation of relevancy between words of sentence and subject words. Experimental results show the effectiveness of the method.

关键词： Automatic Question Answering System topic identification topic relevancy semantic computation Hownet

作者: Jinzhong Xu Jie Liu Xiaoming Liu

作者单位: School of Computer Science & Technology Beijing Institute of Technology, BIT Beijing, China College of Information Engineering Capital Normal University, CNU Beijing, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）