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Probing Commonsense Explanation in Dialogue Response Generation
[article]
2021
arXiv
pre-print
Humans use commonsense reasoning (CSR) implicitly to produce natural and coherent responses in conversations. Aiming to close the gap between current response generation (RG) models and human communication abilities, we want to understand why RG models respond as they do by probing RG model's understanding of commonsense reasoning that elicits proper responses. We formalize the problem by framing commonsense as a latent variable in the RG task and using explanations for responses as textual
arXiv:2104.09574v4
fatcat:h4rcyvrizfgeppib77sbt23of4