面向专用领域文本数据的信息抽取方法设计  

Design of Information Extraction of Specification Text Data

作　　者：张子仪 ZHANG Zi-yi(The 27th Research Institute of China Electronics Technology Group Corporation,Zhengzhou 450047,China)

机构地区：[1]中国电子科技集团公司第二十七研究所,郑州450047

出　　处：《电光系统》2024年第4期31-35,共5页Electronic and Electro-optical Systems

摘　　要：在信息化发展的背景之下,对于各个专用领域数据的收集、处理、分析显得尤为重要,其过程中产生大量文本蕴含着丰富的数据,且数据具有高度的专业性和针对性,对于文本关键信息的抽取满足其专业需求,有利于解决该领域特定问题。文章设计基于通用信息抽取框架、预训练语言模型的面向专用领域文本数据的信息抽取方法,能够准确识别文本数据中的关键信息,为推动数据管理智能科学化提供技术支撑。Under the background of the development of information technology,it is particularly important for collection,processing and analysis of data in various specialized fields.In the process,a large amount of text contains abundant data,and the data is highly professional and targeted.The extraction of key information of text meets its professional requirements and is conducive to solving specific problems in this field.This paper designs an information extraction method based on general information extraction framework and pre-trained language model,which can accurately identity key information in text data and provide technical support for promoting intelligent and scientific data management.

关 键 词：信息抽取 文本数据挖掘 实体识别 事件抽取 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]