One possible idea to tackle such problems is to employ a sarcasm scorer that can determine the sarcasm content in the generated output, and use the scores given by the sarcasm scorer for better training of the generator.
the sarcasm scorer may be external to the sequence-tosequence pipeline, and the scoring function may not be differentiable with respect to the model M θ .