Who's to say what's funny? A computer using Language Models and Deep Learning, That's Who!
Abstract
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- May 2017
- DOI:
- 10.48550/arXiv.1705.10272
- arXiv:
- arXiv:1705.10272
- Bibcode:
- 2017arXiv170510272Y
- Keywords:
-
- Computer Science - Computation and Language
- E-Print:
- 3 pages, Appears in the Proceedings of the Women and Underrepresented Minorities in Natural Language Processing Workshop (WiNLP-2017), July 30, 2017, Vancouver, BC