Current Directions in Computational Humour
Artificial Intelligence Review
The role of domain information in Word Sense Disambiguation
Natural Language Engineering
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
Getting serious about the development of computational humor
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Domain kernels for text categorization
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Lexical resources and semantic similarity for affective evaluative expressions generation
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Laughter abounds in the mouths of computers: investigations in automatic humor recognition
INTETAIN'05 Proceedings of the First international conference on Intelligent Technologies for Interactive Entertainment
Disjunctor selection for one-line jokes
INTETAIN'05 Proceedings of the First international conference on Intelligent Technologies for Interactive Entertainment
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Humor is an important mechanism for communicating new ideas and change perspectives. On the cognitive side humor has two very important properties: it helps getting and keeping people's attention and it helps remembering. This qualities have made it an ideal tool for advertisement. Clearly, the world of advertisement has a great potential for the adoption of computational humor, if the latter is possible at all. Though humor has been called “AI-complete” some prototypes are able to produce expressions limited in humor typology but meant to work in unrestricted domains. In this paper some such work on computational humor is presented and the applied potential of computational humor for advertisement discussed. The followed approach is based on a number of resources with rather shallow internal representations, but with large coverage, and the design of some specialised reasoners.