摘要
专利主题词是用以表述发明或实用新型名称的技术关键词,专利主题词的抽取是专利技术方案信息抽取的第一步,是填充信息抽取结果模板的有效依据和填充子之一。将信息抽取技术应用于中文专利摘要文本,在充分分析了专利摘要文本和专利标题特点的基础上,采用无指导的方法构建信息抽取模板,进而完成专利主题词的抽取。实验表明,该方法获得了较好的抽取效果。
The patent topic keyword is the word which describes the title of an invention or an utility model.The extraction of patent topic keyword is first step of a patent technical solution extraction.The patent topic keyword is one of the slot filler which could be an efficient evidence to fill the result templates.This paper applies information extraction technology to extract the patent topic keyword form Chinese patent Abstract texts,using unsupervised method to build information extraction patterns based on deeply analysis method of patent Abstract texts,titles and the other characteristic of patent information.The experimental results show that the method has better performance.
出处
《沈阳航空工业学院学报》
2010年第3期46-49,共4页
Journal of Shenyang Institute of Aeronautical Engineering
关键词
中文专利摘要文本
专利主题词
无指导
模板
Chinese patent Abstract text
patent topic keyword
unsupervised
pattern
