Evaluation method of automatic summarization calculating the similarity of text based on HowNet

摘要：

in order to do automatic evaluation for summarization much more accurately and efficiently, this paper analyzed the present evaluation methods of automatic summarization concretely, and pointed out the shortcoming of these evaluation methods. Based on the method of vector space model, it presents an evaluation method of automatic summarization calculating the similarity of text based on HowNet. It analyzes the meaning of words concretely using HowNet in the vector space model, considering the effect of part of speech serving as role in the sentences when calculating the weight of feature item and improving the formula of weight of feature item. The experiment shows that evaluation result of this method is better than that of P/R and the method based on the similarity of text.

关键词： automatic summarization evaluation measure similarity vector space model

作者: SUO Hong-guang ZHANG Jing-jing

作者单位: College of Computer & Communication Engineering China University of Petroleum (East China) Dongying, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 534-537

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）