计算机工程与科学2025，Vol.47Issue(4)：718-727,10.DOI:10.3969/j.issn.1007-130X.2025.04.015
融合双词典的农作物病虫害命名实体识别
Named entity recognition of crop diseases and pests fusing dual dictionary
摘要
Abstract
Addressing the issues of domain-specificity,imbalance,and nested entities in crop pest and disease data,which lead to low recognition accuracy of general models,a crop disease and pest enti-ty recognition model incorporating a dual-dictionary approach is proposed.Firstly,the original character data and vocabulary data are introduced into the LE-RoBERTa module and GC-SoftLexicon module,re-spectively,two independent character vectors are obtained after enhancement processing.Then,the fused character vectors are input into the BiLSTM encoding layer and CRF decoding layer to obtain the optimal entity sequence output.Experimental results show that the model achieves an F1-score of 95.56％on the constructed crop disease and pest entity dataset,effectively recognizing crop disease and pest entities.关键词
命名实体识别/农作物病虫害/农业词典/字词融合/注意力机制Key words
named entity recognition/crop diseases and pests/agricultural dictionary/word fusion/at-tention mechanisim分类
信息技术与安全科学引用本文复制引用
朱西平,高昂,肖丽娟..融合双词典的农作物病虫害命名实体识别[J].计算机工程与科学,2025,47(4):718-727,10.基金项目
四川省科技计划项目(2020YFN0019) （2020YFN0019）
