基于CiteSpace的实体关系抽取研究与可视化分析

Research and visual analysis of entity relationship extraction based on CiteSpace

随着自然语言处理技术和产业的发展,知识图谱的构建成为企业和高校研究的主要领域,实体关系抽取则是构建知识图谱的关键技术。文章以CNKI数据库为数据源,以实体关系抽取领域相关研究性文献为研究对象,采用文献计量学的方法,借助Cite Space可视化工具对该研究领域进行关键词共现分析,挖掘该领域的研究热点和研究前沿发展脉络,使用文献述评的方法对实体关系抽取任务进行评述和梳理,最后对实体关系抽取研究领域的发展趋势进行展望。

With the development of natural language processing technology and industry,the construction of knowledge map has become the main research direction of enterprises and universities.Entity relationship extraction is the key technology of constructing knowledge map.Based on the CNKI database,this paper takes relevant research literature in the field of entity relationship extraction as the research abject.With the method of bibliometrics and CiteSpace visualization tool,this paper analyzes the keyword co-occurrence of this research field,and excavates the research hotspot and development context of this field.Using the method of literature review,this paper reviews and combs the different methods of entity relationship extraction task.Finally,this paper looks forward to the research trend in the research field of entity relation ext raction.