Chinese Word Segmentation based on Bidirectional GRU-CRF Model

Che Jinli,Tang Liwei,Deng Shijie,Su Xujun

Table 1 Values of the hyper-parameters

Hyper-parameters Values Character embedding dimension d=200 Dimension of hidden layer h =128 Dropout rate p =0.2 Initial learning rate lr=0.002