Current Directions in Computational Humour
Artificial Intelligence Review
The kinetic typography engine: an extensible system for animating expressive text
Proceedings of the 15th annual ACM symposium on User interface software and technology
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
Humor Comprehension and Appreciation: An fMRI Study
Journal of Cognitive Neuroscience
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Getting serious about the development of computational humor
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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
| Hi-index | 0.00 |
Among forms of creative language, verbal humor has received some attention in the computational milieu. Some aspects of irony and wordplay could be experimented in automated systems. For instance we developed a system that makes fun of existing acronyms, based mainly on lexical reasoning. The dimension of emotion in words is also starting to be understood among computational linguists. The challenge of electronic advertisements offers in particular a great opportunity for getting now deeper into creative language expression and emotion. An advertising message induces in the recipient a positive or negative attitude toward the object to advertise. A prototype we have developed for advertising professionals has two steps: (i) the creative variation of familiar expressions, taking into account the affective content of the produced text, (ii) the automatic animation (semantically consistent with the affective text content) of the resulting expression, using kinetic typography techniques. Validation prospects are also challenging and will be briefly discussed.