The following publications are possibly variants of this publication:
- Adversarial Training Lattice LSTM for Named Entity Recognition of Rail Fault TextsShuai Su, Jia Qu, Yuan Cao 0002, Ruoqing Li, Guang Wang. tits, 23(11):21201-21215, 2022. [doi]
- Research on the Named Entity Recognition for Rail Fault Text Based on Distant SupervisionYi Cai, Shuai Su, Zheng Li, Qinglong Han, Jianxia Zhang. itsc 2022: 939-944 [doi]
- Pretrained Models with Adversarial Training for Named Entity Recognition in Scientific TextHangchao Ma, You Zhang, Jin Wang. ialp 2022: 259-264 [doi]
- Adversarial training based lattice LSTM for Chinese clinical named entity recognitionShan Zhao, Zhiping Cai, Haiwen Chen, Ye Wang, Fang Liu 0002, Anfeng Liu. jbi, 99, 2019. [doi]
- Chinese Named Entity Recognition Method Combining ALBERT and a Local Adversarial Training and Adding Attention MechanismRunmei Zhang, Lulu Li, Lei Yin, Jingjing Liu, Weiyi Xu, Weiwei Cao, Zhong Chen. ijswis, 18(1):1-20, January 2022. [doi]