The results showed that mixing randomly generated in-domain utterances with rule-based in-domain utterances improves performance; the rule-based utterances provide a way to incorporate knowledge from the personality psychology literature into an SNLG approach.
personality scoring models can be effective, although the computational cost of the OS approach remains a major drawback.