Abstract:
News special topic in Web site has plentiful pages. People can get main information rapidly by automatic multidocument summarization. A method which uses time stamp to improve sentence extraction quality is presented. The method of news sentence extraction, sentence importance calculation, and redundancy reducing is introduced. Experimental results show that summarization is good enough for practical application.
Key words:
automatic multidocument summarization,
time stamp,
information extraction,
sentence similarity
摘要: 网站的新闻专题往往包含大量的网页,多文档自动文摘可以帮助人们从中快速获取主要信息。该文提出了利用时间戳改善文摘句子抽取质量和排序的方法。介绍了句子抽取方法、句子重要度计算、句子冗余减小方法。实验表明,形成的文摘性能良好,可以应用于实际系统中。
关键词:
多文档自动文摘,
时间戳,
信息抽取,
句子相似度
CLC Number:
SUO Hong-guang; LIANG Yu-huan; LIU Yu-shu. Automatic Multidocument Summarization Based on Time Stamp[J]. Computer Engineering, 2007, 33(16): 164-165.
索红光;梁玉环;刘玉树. 基于时间戳的多文档自动文摘[J]. 计算机工程, 2007, 33(16): 164-165.