摘要
针对自动文摘处理,提出一种新颖的自动文摘句子加权方法.该方法采用基于互增强关系(MRP)的迭代算法模拟句子和词之间的循环加权关系,计算句子权重.实验结果表明,基于MRP的迭代算法收敛速度快;与传统的自动文摘方法和MS Word Summarizer相比,所提出的基于MRP的句子加权方法可以使自动文摘系统具有更好的性能.
A novel method for text summarization was proposed. The mutual reinforcement principle （MRP） is used to simulate the cycle reinforcement relationship between terms and sentences. An iterative algorithm based on MRP is used to get the saliency scores of sentences. The evaluation shows that the iter- ative algorithm converges rapidly. Compared with the traditional summarizing method and MS Word Sum- marizer, the sentence weighting method based on MRP can improve the summarizing performance.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2007年第8期1297-1300,共4页
Journal of Shanghai Jiaotong University
基金
国家高技术研究发展计划(863)项目(2002AA119050)
关键词
自动文摘
互增强关系
迭代算法
句子加权
automatic text summarization
mutual reinforcement principle （MRP）
iterative algorithm
sentence weighting
