北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2006, Vol. 29 ›› Issue (5): 79-83.doi: 10.13190/jbupt.200605.79.167

• 研究报告 • 上一篇    下一篇

特定领域下关系模板的研究

张素香1,2, 李 蕾1, 谭咏梅1   

  1. 1. 北京邮电大学 信息工程学院, 北京 100876; 2. 华北电力大学 电子与通信工程系, 保定 071003
  • 收稿日期:2005-10-13 修回日期:1900-01-01 出版日期:2006-10-30 发布日期:2006-10-30
  • 通讯作者: 张素香

Research of Relation Pattern in Specific Domain

ZHANG Su-xiang1,2, LI Lei1, TAN Yong-mei1   

  1. 1. School of Information Engineering ,Beijing University of Posts and Telecommunications, Beijing 100876,China;
    2. Department of Electronic and Communication Engineering,North China Electric Power University, Baoding 071003,China
  • Received:2005-10-13 Revised:1900-01-01 Online:2006-10-30 Published:2006-10-30
  • Contact: ZHANG Su-xiang1

摘要:

以“公司人事变动”领域为例,针对实体关系抽取课题,从知识自动获取角度出发,基于Bootstrapping思想提出了层次知识获取模型,利用内外两层模块相互嵌套自动获取知识,获得了实体关系分析所需要的领域专用词典和模板规则。结合全信息理论,对模板添加语义和语用标注,生成全信息知识库。在此基础上,完成关系抽取实验和评测。

关键词: 全信息理论, 全信息知识库, 层次知识获取, 标量聚类

Abstract:

A new method of automatic entity relation extraction is proposed. Based on the Bootstrapping algorithm, the hierarchy knowledge extraction model can be designed. The inner specific word extraction model and outer pattern extraction model can be nested each other to extract automatically knowledge, so that the specific dictionary and pattern rules used for the entity relation extraction is achieved. Combined with the Comprehensive Information Theory, the semantic and pragmatic information can be added into the relation extraction patterns to generate the Comprehensive Information Knowledge-Base (CIKB). Both the experiments of relation extraction and the evaluation have been done.

Key words: comprehensive information theory, comprehensive information knowledge base, hierarchy knowledge extraction, and scalar cluster

中图分类号: