# When a Computer Cracks a Joke: Automated Generation of Humorous Headlines

arXiv: https://arxiv.org/abs/2109.08702 · HTML: https://mlsanity.com/paper/2109.08702/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 47 references that are in the map.
- First posted on arXiv 17 Sep 2021.

## Builds on (most cited first, 5 of 5)

- [Enriching Word Vectors with Subword Information](https://mlsanity.com/paper/1607.04606/) (2016)
- [Pun Generation with Surprise](https://mlsanity.com/paper/1904.06828/) (2019)
- ["President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines](https://mlsanity.com/paper/1906.00274/) (2019)
- [Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"](https://mlsanity.com/paper/1901.03253/) (2019)
- [Joint Detection and Location of English Puns](https://mlsanity.com/paper/1909.00175/) (2019)

## Built on by (most cited first, 2 of 2)

- [When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity](https://mlsanity.com/paper/2211.01889/) (2022)
- [Emotion Conditioned Creative Dialog Generation](https://mlsanity.com/paper/2212.02907/) (2022)

## Abstract (arXiv)

Automated news generation has become a major interest for new agencies in the past. Oftentimes headlines for such automatically generated news articles are unimaginative as they have been generated with ready-made templates. We present a computationally creative approach for headline generation that can generate humorous versions of existing headlines. We evaluate our system with human judges and compare the results to human authored humorous titles. The headlines produced by the system are considered funny 36% of the time by human evaluators.