All the parameters fine-tuned in our experiments are shown in Table 1.
the best performance of [CNN+ATT/ONE+SelfAtt] with training parameters of learning rate:0.4 and CNN filters:230; the best performance of [PCNN+ATT/ONE+SelfAtt] with training parameters of learning rate:0.4 and CNN filters:128; and the best performance of [PCNN+ATT/ONE+SelfAtt+CCL] with training parameters of learning rate:0.1 and CNN filters:256.