Almost all these works focus on reducing the marginal distribution distance between different domain features in an unsupervised manner to make them indistinguishable.
considering a word is not evenly distributed conditioning on different labels, it may result in that the discriminative property of features from different domains may not be similar, which means that close source and target samples may not have the same label.