RESEARCH BASED ON CONCEPT MAPS AND HIDDEN MARKOV MODEL FOR MULTIDOCUMENT SUMMARY

摘要：

A method of generating multi-document summary was proposed based on concept maps and Hidden Markov Model. Handling the original text file, extract concept based on improved Hidden Markov Model and generate concept map, finally calculate the importance and related degree of sentences according to concept map, and then generate semantic summary. The experiment result shows that the summary generated by this method is better than method based on statistics in readability.

关键词： concept map Hidden Markov Model,statistics multi-document summary

作者: Xinguo Mu Wenning Hao Gang Chen Shuining Zhao Dawei Jin

作者单位: Engineering Institute of Corps of Engineers, PLA University of Science & Technology, Nanjing 210007, China

会议类型: 国际会议

会议名称: 2011 4th IEEE International Conference on Broadband Network & Multimedia Technology(第四届IEEE宽带网络与多媒体国际会议 4th IEEE IC-BNMT2011)

会议地点: 深圳

会议语种:英文

页码: 611-614

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）