摘要
随着知识经济的快速发展,对专利文本的分析与研究可以帮助人们了解新技术,推测技术的发展方向。自动关键词抽取在中文专利文本的分析与研究中有着至关重要的意义。介绍一些目前已有的自动关键词抽取技术成果,包括有监督方法和无监督方法,并对关键词抽取的评价指标做简单的介绍。
With the rapid development of the knowledge economy, the analysis and research on patent text is useful for to comprehend the state of the art and prediction the development direction of the technology. Automatic keyword extraction is significant for the analysis and Research of the patent text. Presents a survey of current commonly automatic keyword extraction techniques that including supervised methods and unsupervised methods, and briefly introduces the evaluation metrics of keyword extraction.
作者
杨祎
万琪
YANG Yi WAN Qi(College of Computer Science, Sichuan University, Chengdu 610065)
关键词
专利文本
关键词抽取
有监督方法
无监督方法
评价指标
Patent Text
Keyphrase Extaction
Supervised Approaches
Unsupervised Approaches
Evaluation Metrics