密度峰值算法在中文自动文摘中的应用研究  

Application of Density Peak Algorithm in Chinese Automatic Summarization

作　　者：李明丽[1] 孙连英[1] 邢邗 石晓达 

机构地区：[1]北京联合大学信息学院,北京100101

出　　处：《北京联合大学学报》2016年第2期46-49,共4页Journal of Beijing Union University

摘　　要：随着自然语言处理技术的不断创新,自动文摘的质量得到显著提高。面向科技成果文档的中文自动文摘成为研究热点,具有一定的应用价值。把聚类算法应用到自动文摘中,选取聚类中心的思想对文摘去冗余具有一定意义。结合密度峰值算法,设计实现了面向科技成果文档的中文自动文摘系统。实验结果表明:应用密度峰值算法有利于文摘的冗余处理,具有借鉴意义。With the innovation of natural language processing technology,the quality of automatic summarization has been significantly improved. Chinese automatic summarization for the scientific and technological achievements has become a hot research topic,and has a certain application value. Clustering algorithm is applied to the automatic summarization,and the idea of extract clustering center has a certain significance to remove redundancy. With the application of the density peak algorithm to automatic summarization,the automatic summarization system for the scientific and technological achievements has been realized.

关 键 词：自动文摘 密度峰值 冗余处理 

分 类 号：O212.4[理学—概率论与数理统计]