• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (4): 131-134.

• 论文 • 上一篇    下一篇

新闻文本话题关联识别研究

张晓艳 王挺 陈火旺   

  • 出版日期:2008-04-01 发布日期:2010-05-19

  • Online:2008-04-01 Published:2010-05-19

摘要:

本文首先简单介绍了话题发现与追踪的发展史及主要任务,然后重点分析比较了现有话题关联识别模型的使用情况,并测试了文档中各层次知识特征对话题关联识别性能的影响。其测试结果对如何评判已有的识别系统或构建好的识别系统具有一定参考价值。

关键词: 话题关联识别 话题发现与追踪 知识特征

Abstract:

As a key technology of topic detection and tracking, story link detection is always a issue from the beginning. There will be a great help if we can improve the link detection. At first we briefly introduce the history and primary tasks of topic detection and tracking. Secondly different kinds of link detection systems will be analyzed and compared. Thirdly we test the usefulness of different knowledge features. Finally, we provide the hypothesis of constructing a good link detection system.

Key words: story link detection, topic detection and tracking, knowledge feature