Fuzzy Evolutionary Computation-based Extractive Summarization Approach

摘要：

Nowadays,modern search engine systems summarize each Web document briefly which facilitates the taskof finding the desired documents．This paper presents a fuzzy evolutionary computation approach(FECA)for extrae—tive sunmmrization. Several fuzzy logic-based parameters are utilized to adaptively regulate the behaviors of the evolu—tionary computation．which can effectively prevent convergence to a premature local optunum．We perlorm expert—ments on test sets DUC01 and DUC02，and the results show that our approach aehieves performanee as good as orbetter than some latest summarization systems．

关键词： Extractive summarization Text clustering Evolutionary computation

作者: SONG Wei LIANG Jiu-zhen CAO Xiao-long

作者单位: School of IOT Engineering，Jiangnan University，Wuxi 214122，China

会议类型: 国内会议

会议名称: 第十一届中国Rough集与软计算学术会议、第五届中国Web智能学术研讨会及第五届中国粒计算学术研讨会联合学术会议

会议地点: 南京

会议语种:英文

页码: 33-35

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）