Direction and distance from the model prediction (center black dot) roughly correspond to contents and style intensity, respectively, illustrated by examples taken from Table 2. linguistic style of each other, sometime even regardless of their intentions.
our contribution can be summarized thus: 1) We introduce an end-to-end approach that generates style-specific responses from conversational data and non-parallel non-conversation style data.