Oct. 26, 2022, 1:16 a.m. | Junze Li, Mengjie Zhao, Yubo Xie, Antonis Maronikolakis, Pearl Pu, Hinrich Schütze

cs.CL updates on arXiv.org arxiv.org

Humor is a magnetic component in everyday human interactions and
communications. Computationally modeling humor enables NLP systems to entertain
and engage with users. We investigate the effectiveness of prompting, a new
transfer learning paradigm for NLP, for humor recognition. We show that
prompting performs similarly to finetuning when numerous annotations are
available, but gives stellar performance in low-resource humor recognition. The
relationship between humor and offense is also inspected by applying influence
functions to prompting; we show that models could …

arxiv humor

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