HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation

•A novel diversity-promoting joint training network for open-domain dialogue generation.•We introduce future information during the decoding stage, thus the generation of each word can leverage complete information of the target utterance.•We devise a maximum entropy regularizer to alleviate the over-estimation of high-frequency words.•Our network introduces more linguistic information from target utterances to increase diversity, and captures direct semantic information to better constrain relevance simultaneously.•The method can be applied to any sequence-to-sequence architecture.