指挥控制与仿真2025，Vol.47Issue(2)：68-74,7.DOI:10.3969/j.issn.1673-3819.2025.02.009
基于深度学习的演训文书事件提取技术
Event extraction technology of training documents based on deep learning
贾春秋 1窦林涛 1曾清1
作者信息
- 1. 江苏自动化研究所,江苏 连云港 222061
- 折叠
摘要
Abstract
A large amount of textual information will be generated in the exercise training process,and enormous cognitive pressure will be exerted on training evaluators due to complexity and diversity of such information.How to fully extract un-structured data from exercise training documents and provide efficient services for analysis and evaluation personnel is a chal-lenging issue in data processing.In this paper,we propose a deep learning-based event extraction technique for exercise training documents,which addresses the characteristics of abundant professional terminology,coexistence of Chinese and English,and dense key information in short sentences.By leveraging the powerful text feature extraction of ALBERT and the structured prediction of CRF sequence labeling,we construct an event extraction model for exercise training documents.Ex-perimental results on the training data set demonstrate that this model performs well in text extraction and has practical appli-cations for extracting information from exercise training documents.关键词
深度学习/演训文书/事件提取Key words
deep learning/training documents/event extraction引用本文复制引用
贾春秋,窦林涛,曾清..基于深度学习的演训文书事件提取技术[J].指挥控制与仿真,2025,47(2):68-74,7.
