An Investigation into Computational Recognition of Children's Jokes

Abstract

The purpose of this paper is to describe an investigation into an ontology-based computational recognition of chil-dren’s jokes. While humor has been studied for centuries, computational humor has received very little attention. This may in part be due to the difficulty of the task: at the very least, it requires formal methods for humor genera-tion/recognition and ‘‘being able to produce/interpret natu-ral language, being capable of subtle and flexible infer-ences, and having a vast store of knowledge about the real world. ” [Ritchie, 2004] There are some humor generators (see Ritchie [2004] for a review) and a handful of humor recognizers. Yet, “If computers are ever going to commu-nicate naturally and effectively with humans, they must be able to use humor. ” [Binsted, 2006] We are interested in recognition, not generation of hu-

Cite

Text

Taylor and Mazlack. "An Investigation into Computational Recognition of Children's Jokes." AAAI Conference on Artificial Intelligence, 2007.

Markdown

[Taylor and Mazlack. "An Investigation into Computational Recognition of Children's Jokes." AAAI Conference on Artificial Intelligence, 2007.](https://mlanthology.org/aaai/2007/taylor2007aaai-investigation/)

BibTeX

@inproceedings{taylor2007aaai-investigation,
  title     = {{An Investigation into Computational Recognition of Children's Jokes}},
  author    = {Taylor, Julia M. and Mazlack, Lawrence J.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2007},
  pages     = {1904-1905},
  url       = {https://mlanthology.org/aaai/2007/taylor2007aaai-investigation/}
}