To address this problem, we propose a novel controlled response generation mechanism to handle different utterance-response relationships in terms of specificity.
we introduce an explicit specificity control variable into a sequence-to-sequence model, which interacts with the usage representation of words through a Gaussian Kernel layer, to guide the model to generate responses at different specificity levels.