However, since the encoder in the topic modeling component is expected to be as a discriminator and guarantee that texts generated by the sequence modeling decoder have specific topic information, the encoder cannot be with the discrete representations (e.g., one-hot representation) of texts as input.
we compare several baselines including models based on language model (i.e., LSTM LM, LSTM+LDA, Topic-RNN, TDLM) and models based on VAE (i.e., LSTM VAE, VAE+HF, TGVAE, DCNNVAE, DVAE).