江千军, 桂前进, 王磊, 徐瑞翔, 王京景, 麦立, 许水清. 命名实体识别技术研究进展综述[J]. 电力信息与通信技术, 2022, 20(2): 15-24. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.02.003
引用本文: 江千军, 桂前进, 王磊, 徐瑞翔, 王京景, 麦立, 许水清. 命名实体识别技术研究进展综述[J]. 电力信息与通信技术, 2022, 20(2): 15-24. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.02.003
JIANG Qianjun, GUI Qianjing, WANG Lei, XU Ruixiang, WANG Jingjing, MAI Li, XU Shuiqing. A Review of the Research Progress of Named Entity Recognition[J]. Electric Power Information and Communication Technology, 2022, 20(2): 15-24. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.02.003
Citation: JIANG Qianjun, GUI Qianjing, WANG Lei, XU Ruixiang, WANG Jingjing, MAI Li, XU Shuiqing. A Review of the Research Progress of Named Entity Recognition[J]. Electric Power Information and Communication Technology, 2022, 20(2): 15-24. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.02.003

命名实体识别技术研究进展综述

A Review of the Research Progress of Named Entity Recognition

  • 摘要: 命名实体识别是指从文本中提取出专有名词或特定命名实体的识别任务,作为信息抽取中非结构化数据转化为结构化数据的关键步骤,在机器翻译、情感分析、信息检索等领域有广泛应用,是自然语言处理的热点问题。文章就现有的命名实体识别技术方法进行了详细地梳理,重点阐述了基于深度学习的命名实体识别方法及其实现过程,进而分析了具有代表性的典型算法的优缺点,并对命名实体识别技术在电力系统中的应用前景进行了展望。

     

    Abstract: Named entity recognition refers to the task of extracting proper nouns or specific named entities from text. As a key step of information extraction to transform unstructured data into structured data, it has been widely applied in machine translation, emotion analysis, information retrieval and other fields, which has been a hot issue in natural language processing. This paper makes a detailed analysis of the existing named entity recognition technology methods, focuses on the deep learning based on named entity recognition method and its implementation process. Furthermore, it analyzes the advantages and disadvantages of the representative typical algorithms, meanwhile, discussing the application prospect of named entity recognition in power system.

     

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