Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines (2020.acl-demos)
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| Challenge: | FunLines is an online game that allows players to generate and rate funny news headlines . it is difficult to generate data that depends on human creativity, and measuring creativity often requires more effort. |
| Approach: | They propose a game where players edit news headlines to make them funny and rate the funniness of headlines edited by others. |
| Outcome: | The proposed game outperforms other crowdsourcing approaches in generating humor datasets. |
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| Challenge: | Existing datasets address specific humor templates, such as funny one-liners and filling in Mad Libs R. |
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| Challenge: | a lot of computational tools focus on standalone jokes or on occasional humorous sentences during presentations. |
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The rJokes Dataset: a Large Scale Humor Collection (2020.lrec-1)
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| Challenge: | Humor is a complex language phenomenon that depends upon many factors, including topic, date, and recipient. |
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| Challenge: | Humor plays important role in human communication, which makes it important problem for natural language processing. |
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Large Dataset and Language Model Fun-Tuning for Humor Recognition (P19-1)
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| Challenge: | Humor recognition datasets contain only English texts and focus on puns. |
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A Survey of Pun Generation: Datasets, Evaluations and Methodologies (2025.findings-emnlp)
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| Challenge: | Pun generation aims to modify linguistic elements in text to produce humour or evoke double meanings. |
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How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements (2021.acl-long)
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| Challenge: | Humor is an important social phenomenon, serving complex social and psychological functions. |
| Approach: | They propose a novel algorithm for automatically detecting funny scientific papers . they use a dataset containing thousands of funny papers to learn classifiers . |
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Hooks in the Headline: Learning to Generate Headlines with Controlled Styles (2020.acl-main)
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| Challenge: | Current summarization systems only produce plain, factual headlines, far from the practical needs for exposure and memorableness of the articles. |
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| Challenge: | Existing methods for generating homographic puns are heavy-weighted due to the lack of training data. |
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ExPUNations: Augmenting Puns with Keywords and Explanations (2022.emnlp-main)
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Jiao Sun, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Tagyoung Chung, Jing Huang, Yang Liu, Nanyun Peng
| Challenge: | Puns add the challenge of fusing commonsense and world knowledge with the ability to interpret lexical-semantic ambiguity. |
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