计算机科学与探索2024，Vol.18Issue(10)：2594-2615,22.DOI:10.3778/j.issn.1673-9418.2407038
基于大语言模型的命名实体识别研究进展
Research Progress of Named Entity Recognition Based on Large Language Model
摘要
Abstract
Named entity recognition aims to identify named entities and their types from unstructured text,which is an important basic task in natural language processing technologies such as question answering system,machine translation and knowledge graph.With the development of artificial intelligence,named entity recognition based on large language model has become a hot research topic.This paper reviews the latest research progress of named entity recognition based on large language model.Firstly,the development process of large language model and named en-tity recognition is summarized,and the commonly used datasets and evaluation methods for named entity recogni-tion tasks are briefly introduced.This paper sorts out the traditional research work on named entity recognition from three aspects:rule-based and dictionary-based,statistical machine learning-based and deep learning-based.Secondly,how to apply different big language models to different fields of named entity recognition tasks is described in detail according to the model architecture,and the existing problems and improvement directions are analyzed.Finally,the challenges faced by named entity recognition tasks based on big language models are summarized,and future re-search directions are prospected.关键词
大语言模型/命名实体识别/神经网络/深度学习Key words
large language model/named entity recognition/neural network/deep learning分类
计算机与自动化引用本文复制引用
梁佳,张丽萍,闫盛,赵宇博,张雅雯..基于大语言模型的命名实体识别研究进展[J].计算机科学与探索,2024,18(10):2594-2615,22.基金项目
国家自然科学基金(61462071) （61462071）
内蒙古自然科学基金(2023LHMS06009,2024MS06020) （2023LHMS06009,2024MS06020）
内蒙古自治区教育科学研究"十四五"规划2023年度课题(2023NGHZXZH119,NGJGH2023234).This work was supported by the National Natural Science Foundation of China(61462071),the Natural Science Foundation of Inner Mongolia(2023LHMS06009,2024MS06020),and the Subject of the"14th Five-Year Plan"of Educational Science Research in Inner Mongolia Autonomous Region in 2023(2023NGHZXZH119,NGJGH2023234). （2023NGHZXZH119,NGJGH2023234）
