Paper: Making Computers Laugh: Investigations In Automatic Humor Recognition

ACL ID H05-1067
Title Making Computers Laugh: Investigations In Automatic Humor Recognition
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

Humor is one of the most interesting and puzzling aspects of human behavior. De- spite the attention it has received in fields such as philosophy, linguistics, and psy- chology, there have been only few at- tempts to create computational models for humor recognition or generation. In this paper, we bring empirical evidence that computational approaches can be success- fully applied to the task of humor recogni- tion. Through experiments performed on very large data sets, we show that auto- matic classification techniques can be ef- fectively used to distinguish between hu- morous and non-humorous texts, with sig- nificant improvements observed over apri- ori known baselines.