CLMay 29, 2017
Who's to say what's funny? A computer using Language Models and Deep Learning, That's Who!
arXiv:1705.10272v13 citations
Originality Synthesis-oriented
AI Analysis
This addresses the challenge of humor analysis for computational linguistics and AI applications, but it appears incremental as it builds on existing language models without claiming major breakthroughs.
The paper tackled the problem of automatically detecting and ranking humorous statements on a continuous scale, reporting results using a Language Model approach and outlining plans for Deep Learning methods.
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.