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一种基于主题敏感辞分析的新闻文献自动摘要系统的研究与实践
引用本文:沈洲,王永成,韩客松. 一种基于主题敏感辞分析的新闻文献自动摘要系统的研究与实践[J]. 高技术通讯, 2001, 11(9): 28-32
作者姓名:沈洲  王永成  韩客松
作者单位:上海交通大学电子信息学院
基金项目:863计划资助项目 (863 3 0 6 ZD0 3 0 4 1)
摘    要:介绍了一种基于主题敏感辞分析的新闻新闻自动摘要系统的研究与实践。首先阐述了主题敏感辞分析的心理语言学基础,然后详细介绍了系统中的主题敏感辞的获取、敏感辞修饰关系分析、敏感辞同现关系分析等步骤,最后给出了该系统与原有摘要系统评价测试对比结果。评测结果显示,该系统无论在处理速度还是在摘要质量上均有明显的提高。

关 键 词:自然语言处理 主题敏感辞分析 自动摘要系统 心理语言学 网络新闻 电子信息

Study and Practice of a Kind of Automatic News Summarization System Based on Subject Sensitive Words Analysis
Shen Zhou,Wang Yongcheng,Han Kesong. Study and Practice of a Kind of Automatic News Summarization System Based on Subject Sensitive Words Analysis[J]. High Technology Letters, 2001, 11(9): 28-32
Authors:Shen Zhou  Wang Yongcheng  Han Kesong
Abstract:A kind of automatic summarization system based on subject sensitive words, which could be applied in the field of news, is presented. Firstly, the psycholinguistic principles of subject sensitive word are introduced. Secondly, how to acquire the sensitive words and how to proceed the modifying relation analysis and co occurrence relation analysis are also introduced. Finally, the result of evaluation between this system and the old system is given. It reveals that this system has higher performance than the old one no matter from the processing speed or the quality of summary.
Keywords:Natural language processing   Subject sensitive words analysis   Automatic summarization   News summarization  
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