Ideally, using word embedding as the learning target via minimizing CD can effectively train the decoder to model the semantic relation existing in the embedding space.
such an approach suffers from the hubness problem (Faruqui et al., 2016) of word embedding in practice (as we later discuss in Sec. 4.5).