A Multigranularity Text Driven Named Entity Recognition CGAN Model for Traditional Chinese Medicine Literatures

Table 3

Experimental results under different models on the Shennong’s classic of material medical and medical cases of famous doctors in different periods of China datasets.

Model	P (%)	R (%)	F1 (%)	P (%)	R (%)	F1 (%)
	Shennong’s classic of material medical			Medical cases of famous doctors in different periods of China
BiLSTM-CRF	86.32	87.67	86.99	87.88	89.43	88.65
BERT-BiLSTM-CRF	89.56	90.05	89.80	89.74	92.07	90.89
Roberta-c	89.78	90.15	89.96	90.12	90.59	90.35
MT-CGAN	90.26	89.78	90.02	90.36	91.28	90.81