Named Entity Recognition of Chinese Crop Diseases and Pests Based on RoBERTa-wwm with Adversarial Training

Named Entity Recognition of Chinese Crop Diseases and Pests Based on RoBERTa-wwm with Adversarial Training

This paper proposes a novel model for named entity recognition of Chinese crop diseases and pests. The model is intended to solve the problems of uneven entity distribution, incomplete recognition of complex terms, and unclear entity boundaries. First, a robustly optimized BERT pre-training approach...

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Detalles Bibliográficos
Autores principales: Jianqin Liang, Daichao Li, Yiting Lin, Sheng Wu, Zongcai Huang
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2023-03-01
Colección:Agronomy
Materias:
crop diseases and pests
named entity recognition
deep learning
pre-training language model
adversarial training
Acceso en línea:https://www.mdpi.com/2073-4395/13/3/941

Internet

https://www.mdpi.com/2073-4395/13/3/941

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