Thus, the selective domain adversarial loss is a weighted crossentropy loss for all the words from the labeled source data D s and unlabeled target data D t : Existing studies (Yosinski et al., 2014;Mou et al., 2016) have already shown some evidence that lowlevel neural layer features (i.e., low-level task) are more easily transferred to different tasks or domains.
we choose the r L a,i from the lowlevel AD task to be aligned instead of the feature h U i from the high-level ADS task to transfer.