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Maintaining a consistent personality in conversations is quite natural forhuman beings, but is still a non-trivial task for machines. The persona-baseddialogue generation task is thus introduced to tackle thepersonality-inconsistent problem by incorporating explicit persona text intodialogue generation models. Despite the success of existing persona-basedmodels on generating human-like responses, their one-stage decoding frameworkcan hardly avoid the generation of inconsistent persona words. In this work, weintroduce a three-stage framework that employs a generate-delete-rewritemechanism to delete inconsistent words from a generated response prototype andfurther rewrite it to a personality-consistent one. We carry out evaluations byboth human and automatic metrics. Experiments on the Persona-Chat dataset showthat our approach achieves good performance.

Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation