The neural text generation community has also recently been interested in "controllable" text generation (Hu et al., 2017), where various aspects of the text (often sentiment) are manipulated or transferred (Shen et al., 2017;Zhao et al., 2018;.
here we focus on controlling either the content of a generation or the way it is expressed by manipulating the (latent) template used in realizing the generation.