# Who's to say what's funny? A computer using Language Models and Deep Learning, That's Who!

arXiv: https://arxiv.org/abs/1705.10272 · HTML: https://mlsanity.com/paper/1705.10272/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 May 2017.

## Built on by (most cited first, 1 of 1)

- [Integrating extracted information from bert and multiple embedding methods with the deep neural network for humour detection](https://mlsanity.com/paper/2105.05112/) (2021)

## Abstract (arXiv)

Humor is a defining characteristic of human beings. Our goal is to develop methods that automatically detect humorous statements and rank them on a continuous scale. In this paper we report on results using a Language Model approach, and outline our plans for using methods from Deep Learning.