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2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.
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.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2006年第5期79-83,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家"863计划"项目(2001AA114210)
关键词
全信息理论
全信息知识库
层次知识获取
标量聚类
comprehensive information theory
comprehensive information knowledge base
hierarchy knowledge extraction
scalar cluster
作者简介
张素香（1973-），女，博士生，E-mail：zsuxiang@163．com．
