Unlike past work that has focused on diversifying the output at word-level or discourse-level with a flat model to alleviate this problem, we propose a hierarchical generation model to capture the different levels of diversity using the conditional variational autoencoders.
a hierarchical response generation (HRG) framework is proposed to capture the conversation intention in a natural and coherent way.