计算机与数字工程2024,Vol.52Issue(7) :2115-2122.DOI:10.3969/j.issn.1672-9722.2024.07.036

电力领域命名实体识别研究综述

A Survey of Named Entity Recognition in Electricity Field

梁宏涛 郭超男 刘红菊 王莹
计算机与数字工程2024,Vol.52Issue(7) :2115-2122.DOI:10.3969/j.issn.1672-9722.2024.07.036
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电力领域命名实体识别研究综述

A Survey of Named Entity Recognition in Electricity Field

梁宏涛 1郭超男 1刘红菊 1王莹1
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作者信息

  • 1. 青岛科技大学信息与科学技术学院 青岛 266061
  • 折叠

摘要

电力行业蓬勃发展,该行业各类数据也随之爆发式增长.对电力数据的科学统筹管理与综合分析,可为电力行业智能化、自动化发展开辟道路.知识图谱的大放异彩为此提供了新思路——知识管理.命名实体识别作为知识图谱构建的关键步骤,目的是识别文本数据中的实体并归类至对应的实体类型,为电力知识图谱的构建奠定基础.论文以电力领域角度论述,首先从命名实体识别的相关理论入手,剖析了国内外的研究方法;然后对电力领域命名实体识别的实现难点和技术框架进行阐述,归纳了电力领域命名实体识别取得的进展等;最后对电力领域命名实体识别研究工作进行了总结与展望.

Abstract

For the power industry to flourish,various types of data in this industry will also explode.The scientific overall man-agement and comprehensive analysis of power data can open up the way for the development of intelligence and automation in the power industry.The brilliance of the knowledge graph provides a new idea for this-knowledge management.Named entity recogni-tion is a key step in knowledge graph construction.This paper discusses from the perspective of electric power field,starts with the related theory of named entity recognition,and analyzes the research methods at home and abroad.Then,it expounds the realization difficulties and technical framework of named entity recognition in the electric power field,and summarizes the achievements of named entity recognition in the electric power field.Finally,the research work of named entity recognition in the field of electric power is summarized and prospected.

关键词

命名实体识别/电力领域/自然语言处理/知识图谱

Key words

named entity recognition/electricity field/natural language processing/knowledge graph

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基金项目

国家自然科学基金项目(61973180)

山东省产教融合研究生联合培养示范基地项目(2020-19)

出版年

2024
计算机与数字工程
中国船舶重工集团公司第七0九研究所

计算机与数字工程

CSTPCD
影响因子:0.355
ISSN:1672-9722
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