A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation
Table 4: Comparison between our model with other prevalent models of the CWS.
['Models', 'CITYU P', 'CITYU R', 'CITYU F', 'PKU P', 'PKU R', 'PKU F']
To better evaluate the performance of the CWS our model with other models premised the Bi-LSTM that other researchers proposed, we contrast the performance of the CWS between our model with prevalent models on the datasets of CITYU and PKU.