A major advantage of our model is that we can exploit the semantic distance between the latent variables to maintain good diversity between the sampled latent variables.
they use a latent word in a factorized encoder-decoder model, but our model uses it to construct a discrete CVAE and our optimization algorithm is entirely different from theirs.