Similar to existing topic modeling methods, we treat bag-of-words representations of texts as input.
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.