In dialogue systems, we cast a generated response as the hypothesis and the conversation history as the premise, projecting thus the automatic evaluation into an NLI task.
we propose directly calculable approximations of human evaluation grounded on conversational coherence and affordance by using state-of-the-art entailment techniques.