计算机应用与软件2024，Vol.41Issue(6)：237-242,249,7.DOI:10.3969/j.issn.1000-386x.2024.06.035
基于边界感知的工业设备故障命名实体识别方法
NAMED ENTITY RECOGNITION METHOD FOR INDUSTRIAL EQUIPMENT FAULTS BASED ON BOUNDARY-AWARE
葛卫京 1刘晓丽 1杜亚峰1
作者信息
- 1. 商丘工学院机械工程学院 河南商丘 476000
- 折叠
摘要
Abstract
Named Entity Recognition plays a key role in identifying industrial equipment faults,aiding in fault prediction,maintenance management,and intelligent decision-making.Aiming at the nested structures and long spans in industrial equipment fault,this paper proposes a boundary-aware entity recognition method.This method accurately located the span of entities through boundary detection and enhanced recognition performance by combining category prediction to determine the entity span's category.To tackle the scarcity of labeled data,this paper constructed an entity recognition dataset targeted at industrial equipment faults.Experimental results demonstrate the effectiveness of this method in recognizing entities related to industrial equipment faults,which lays a solid foundation for subsequent data analysis and knowledge graph construction.关键词
命名实体识别/预训练语言模型/工业设备/故障信息Key words
Named entity recognition/Pre-trained language models/Industrial equipment/Fault information分类
信息技术与安全科学引用本文复制引用
葛卫京,刘晓丽,杜亚峰..基于边界感知的工业设备故障命名实体识别方法[J].计算机应用与软件,2024,41(6):237-242,249,7.
