A Unified Framework for Pun Generation with Humor Principles

• URL: http://arxiv.org/abs/2210.13055v1
• Date: Mon, 24 Oct 2022 09:20:45 GMT
• Title: A Unified Framework for Pun Generation with Humor Principles
• Authors: Yufei Tian, Divyanshu Sheth and Nanyun Peng
• Abstract summary: We propose a unified framework to generate both homophonic and homographic puns. We incorporate three linguistic attributes of puns to the language models: ambiguity, distinctiveness, and surprise.
• Score: 31.70470387786539
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We propose a unified framework to generate both homophonic and homographic puns to resolve the split-up in existing works. Specifically, we incorporate three linguistic attributes of puns to the language models: ambiguity, distinctiveness, and surprise. Our framework consists of three parts: 1) a context words/phrases selector to promote the aforementioned attributes, 2) a generation model trained on non-pun sentences to incorporate the context words/phrases into the generation output, and 3) a label predictor that learns the structure of puns which is used to steer the generation model at inference time. Evaluation results on both pun types demonstrate the efficacy of our model over strong baselines.

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