《山东大学学报(理学版)》 ›› 2026, Vol. 61 ›› Issue (5): 1-17.doi: 10.6040/j.issn.1671-9352.0.2025.177
• 综述 •
张勇1,2,纪伟1,3,钟毅1,3
ZHANG Yong1,2, JI Wei1,3, ZHONG YI1,3
摘要： 领域命名实体识别方法在大语言模型技术赋能的背景下,推动了电力领域命名实体识别的发展。在此背景下,本文综述电力领域命名实体识别方法的发展历程,介绍早期基于规则和词典的方法再到统计机器学习的方法。从分布式嵌入层、文本编码层和标签解码层总结基于深度学习方法的模型。本文还探讨大语言模型在命名实体识别任务中的应用及其影响,并且探索当前电力领域命名实体识别存在的问题。
中图分类号:
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