"Judge me by my size (noun), do you?'' YodaLib: A Demographic-Aware Humor Generation Framework

• URL: http://arxiv.org/abs/2006.00578v1
• Date: Sun, 31 May 2020 18:11:52 GMT
• Title: "Judge me by my size (noun), do you?'' YodaLib: A Demographic-Aware Humor Generation Framework
• Authors: Aparna Garimella, Carmen Banea, Nabil Hossain, Rada Mihalcea
• Abstract summary: We propose an automatic humor generation framework for Mad Libs stories, while accounting for the demographic backgrounds of the desired audience. We build upon the BERT platform to predict location-biased word fillings in incomplete sentences, and we fine tune BERT to classify location-specific humor in a sentence. We leverage these components to produce YodaLib, a fully-automated Mad Libs style humor generation framework, which selects and ranks appropriate candidate words and sentences.
• Score: 31.115389392654492
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The subjective nature of humor makes computerized humor generation a challenging task. We propose an automatic humor generation framework for filling the blanks in Mad Libs stories, while accounting for the demographic backgrounds of the desired audience. We collect a dataset consisting of such stories, which are filled in and judged by carefully selected workers on Amazon Mechanical Turk. We build upon the BERT platform to predict location-biased word fillings in incomplete sentences, and we fine tune BERT to classify location-specific humor in a sentence. We leverage these components to produce YodaLib, a fully-automated Mad Libs style humor generation framework, which selects and ranks appropriate candidate words and sentences in order to generate a coherent and funny story tailored to certain demographics. Our experimental results indicate that YodaLib outperforms a previous semi-automated approach proposed for this task, while also surpassing human annotators in both qualitative and quantitative analyses.

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