• 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 (3): 133-135.

• 论文 • 上一篇    下一篇

面向领域的动词事件聚类

韦卓 赵克 易帅   

  • 出版日期:2008-03-01 发布日期:2010-05-19

  • Online:2008-03-01 Published:2010-05-19

摘要:

本文主要是对自然语言理解中如何从句子里和段落中提取中心意思进行研究,首先建立合理完善的静态知识库,然后对动词按照相关性进行聚类,最后对聚类的结果按照时间 顺序排序。在建立了比较完整的静态知识库的前提下,本文提供的动词事件聚类方法能在中学智能辅导系统领域里对提取文章核心意思具有很高的成功率。

关键词: 领域过程树 本体 静态知识 事件聚类

Abstract:

This text mainly studies how to pick up the core meaning from sentences and paragraphs as for natural language understanding. Firstly, the paper builds up a reasonable and perfect static repository, clusters verbs according to their dependency,and finally sorts the clustering results according to the  time sequence. On the premise of building an integral static repository, the verb affair clustering method provided in this paper features high rate of 
success to pick up the core meaning from articles in the intelligence tutoring system for middle schools.

Key words: domain process tree, ontology, static knowledge, affair clustering