国内命名实体识别研究的热点和趋势——基于CNKI的知识图谱分析

Research Hotspot and Trend of Named Entity Recognition in China—Analysis of Knowledge Map Based on CNKI

命名实体识别经过几十年的发展在我国已经取得了丰厚的成果。本文使用CiteSpace作为分析工具,对中国知网学术期刊库中的以命名实体识别为主题的论文进行可视化分析。通过作者分析、研究机构分析、和关键词分析对我国命名实体识别的研究路径和研究热点进行探讨。研究结果发现,我国已经出现了一批有影响力的作者和研究机构。我国的研究路径经历了三个阶段,目前国内的研究热点是命名实体识别的深度学习方法。

Named entity recognition has made great achievements in China after decades of development. In this paper, CiteSpace is used as an analysis tool to visually analyze the papers on the topic of named entity recognition in CNKI. Through author analysis, research organization analysis, and keyword analysis, this paper discusses the research path and research focus of named entity recognition in China. The results show that a number of influential authors and research institutions have emerged in China. The research path of our country has gone through three stages. At present, the research hotspot in our country is the deep learning method of named entity recognition.