(2019) augments the decoder with an edit vector representing lexical differences between retrieved contexts and the message.
its objective function is to minimize classification error rate: We cast the retrieval-enhanced response generation as a reinforcement learning problem to backpropagate the error computed by the discriminator to the generator via the policy gradient algorithm.