现代信息科技2026，Vol.10Issue(7)：58-61,67,5.DOI:10.19850/j.cnki.2096-4706.2026.07.012
基于ERNIE的航空情报文本信息抽取方法研究
Research on Aviation Information Text Extraction Methods Based on ERNIE
摘要
Abstract
To address the challenges of complex structure,dense terminology,and low manual processing efficiency in the digitization process of Aeronautical Information Publication(AIP),this paper proposes an information extraction method for aeronautical text.A domain-specific entity system and annotated dataset are constructed,and the ERNIE-BiLSTM-CRF model is employed for semantic representation,contextual modeling,and sequence decoding,in comparison with traditional models.Experimental results show that the proposed method achieves a precision of 91.8%,a recall of 90.6%,and an F1-score of 91.2%in the named entity recognition task,demonstrating an improvement over the baseline model and greater stability in recognizing technical terms and long entities.This study provides a feasible technical pathway for structured extraction of key AIP information and the development of digital aeronautical intelligence products.关键词
航空情报/航空资料汇编/信息抽取/命名实体识别/ERNIEKey words
aeronautical information/Aeronautical Information Publication(AIP)/information extraction/named entity recognition/ERNIE分类
信息技术与安全科学引用本文复制引用
唐凯,赖欣,李炎林..基于ERNIE的航空情报文本信息抽取方法研究[J].现代信息科技,2026,10(7):58-61,67,5.基金项目
中国民用航空飞行学院重点科研项目(25CAFUC03046) （25CAFUC03046）
中国民用航空飞行学院研究生创新创业项目(25CAFUC10041) （25CAFUC10041）
