Also simply augmenting the inputs of the decoders with latent action does not guarantee that the generated response exhibits the attributes of the give action.
we use the controllable text generation framework (Hu et al., 2017) by introducing L Attr , which reuses the same recognition network q R (z|x) as a fixed discriminator to penalize the decoder if its generated responses do not reflect the attributes in z.