Existing methods commonly adapt the classifier by aligning the representations between the source and target domains (Glorot et al., 2011;Chen et al., 2012;Zhou et al., 2016;Ganin et al., 2016;Zhang et al., 2017).
our model adapts the mapping from rationales to attention; thus after training, it can be applied to different target tasks.