基于浅层句法分析的术语抽取研究

A Research of Term Extraction Base On shallow parsing

本文提出基于浅层句法分析的术语抽取的算法,其基本思想是大规模无标注真实科技文本库中,通过基于概率模型的句法分析对句子进行句子切分,提取形成术语数据库。在此方法基础上,我们对管理科学各学科领域的技术文本自动提取出管理科学关键词体系。实验证明基于浅层句法分析的术语自动抽取技术对术语抽取有很好的成效。

This paper propose algorithm of Term Extraction based on shallow parsing. The basic idea ＇is dividing up sentence based on the probability model from true large-scale technology text, and then picking up term to the database. On the basis of method, we picked up keywords scientific management system automatically from Science ＆ Technology text on scientific management. Experiments show that：it is good effective for term extraction by that.