English

Witscript: A System for Generating Improvised Jokes in a Conversation

Computation and Language 2023-02-07 v1 Artificial Intelligence

Abstract

A chatbot is perceived as more humanlike and likeable if it includes some jokes in its output. But most existing joke generators were not designed to be integrated into chatbots. This paper presents Witscript, a novel joke generation system that can improvise original, contextually relevant jokes, such as humorous responses during a conversation. The system is based on joke writing algorithms created by an expert comedy writer. Witscript employs well-known tools of natural language processing to extract keywords from a topic sentence and, using wordplay, to link those keywords and related words to create a punch line. Then a pretrained neural network language model that has been fine-tuned on a dataset of TV show monologue jokes is used to complete the joke response by filling the gap between the topic sentence and the punch line. A method of internal scoring filters out jokes that don't meet a preset standard of quality. Human evaluators judged Witscript's responses to input sentences to be jokes more than 40% of the time. This is evidence that Witscript represents an important next step toward giving a chatbot a humanlike sense of humor.

Keywords

Cite

@article{arxiv.2302.02008,
  title  = {Witscript: A System for Generating Improvised Jokes in a Conversation},
  author = {Joe Toplyn},
  journal= {arXiv preprint arXiv:2302.02008},
  year   = {2023}
}

Comments

10 pages. Published in the Proceedings of the 12th International Conference on Computational Creativity (ICCC 2021), pages 22-31

R2 v1 2026-06-28T08:31:46.025Z