This approach enables the incorporation of rich context when mapping between consecutive dialogue turns  in a way not possible, for example, with MT-based dialogue models (Ritter et al., 2011).
it is not clear how well MLE approximates the real-world goal of chatbot development: teaching a machine to converse with humans, while providing interesting, diverse, and informative feedback that keeps users engaged.