Many recent discourse relation classification approaches have focused on cross-lingual data augmentation , training models to better represent the relational arguments by using various neural network models, including feed-forward network (Rutherford et al., 2017) , convolutional neural networks (Zhang et al., 2015) , recurrent neural network (Ji et al., 2016;<cite> Bai and Zhao, 2018)</cite> , character-based (Qin et al., 2016) or formulating relation classification as an adversarial task (Qin et al., 2017) .