National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61977032, 62077018]; 13th fiveyear plan of the State Language Commission [ZDI135-99]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU20CG008]
机构署名：
本校为第一且通讯机构
院系归属：
计算机学院
摘要：
In this paper, we propose a new model that combines reinforcement learning and adversarial training to exploit the data generated by distant supervision for named entity recognition. Our model can not only reduce the influence of noise in generated data, but also find more informative instances for training. In the pre-training stage of the model, in order to make full use of the data generated by distant supervision, we use reinforcement learning to select reliable instances to pre-train a classifier. In the training stage of the model, we introduce the adversarial training mechanism, which c...
