摘要
命名实体识别一直以来都是信息抽取、自然语言处理等领域中重要的研究任务,随着机器学习技术的新发展,数字人文研究的兴起,事件知识和实体知识变得越发重要,命名实体识别焕发出新的发展动力。本文详细梳理了命名实体识别从提出至今的发展脉络,从实体的定义、重要的评测会议、主流的研究方法研究的应用价值等角度,全面考察了该领域的研究现状,并分析了命名实体识别未来的发展趋势。
Named Entity Recognition has been an important research topic in information extraction ano natural lan- guage processing. With the development of machine learning and an increasing interest in digital humanities, entity recognition has gained importance. More importantly, the Named Entity Recognition research has indicated the potential of development in the field. This study shows the arising and the development of Named Entity Recognition from the most important conferences, the main algorithms to the most popular implementations. The future possibili- ties in the research field are proposed at the end.
作者
刘浏
王东波
Liu Liu;Wang Dongbo(School of Information Management, Nanjing University, Nanjing 210023;Jiangsu Key Laboratory of Data Engineering and Knowledge Service （Nanjing University）, Nanjing 210023;College of Information Science and Technology, Nanjing Agricultural University, Nanjing 210095)
出处
《情报学报》
CSSCI
CSCD
北大核心
2018年第3期329-340,共12页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金重大项目"基于<汉学引得丛刊>的典籍知识库构建及人文计算研究"(15ZDB127)
国家自然科学基金面上项目"基于典籍引得的句法级汉英平行语料库构建及人文计算研究"(71673143)
江苏省普通高校学术学位研究生科研创新计划项目"引用内容分析--引文语义信息的自动挖掘"(KYZZ16_0033)
关键词
命名实体识别
实体挖掘
信息抽取
Named Entity Recognition
entity extraction
information extraction
