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End-to-end sequence generation is a popular technique for developing open domain dialogue systems, though they suffer from the safe response problem. Researchers have attempted to tackle this problem by incorporating generative models with the returns of retrieval systems. Recently, a skeleton-thenresponse framework has been shown promising results for this task. Nevertheless, how to precisely extract a skeleton and how to effectively train a retrieval-guided response generator are stilldoi:10.18653/v1/d19-1195 dblp:conf/emnlp/CaiWBTLS19 fatcat:snb575cw4fgkplu2vsjfgnlviy