JOKER 2025: Humour in the Machine
JOKER aims to foster interdisciplinary approaches to the (semi-)automatic analysis and processing of humour and wordplay.
Tasks:
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Task 1 - Humor-aware Information Retrieval
For Task 1, the aim is to retrieve short humorous texts from a document collection based on a given query. The languages are English and Portuguese.
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Task 2 - Wordplay Translation
For Task 2, the goal is to translate English punning jokes into French.
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Task 3 - Onomastic Wordplay
For Task 3, the goal is to classify proper names according to whether they are humorous, and to translate them from English into French.
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Task 4 - Controlled Creativity
For Task 4, the goal is to identify the introduction of distorted or spurious content (""hallucinations"") in generated creative texts.
Organizers
- Liana Ermakova, Université de Bretagne Occidentale, HCTI
- Anne-Gwenn Bosser, École Nationale d'Ingénieurs de Brest, Lab-STICC CNRS UMR 6285
- Tristan Miller, Department of Computer Science, University of Manitoba and Austrian Research Institute for Artificial Intelligence
- Ricardo Campos, INESC TEC and Universidade da Beira Interior
Contact
- liana.ermakova@univ-brest.fr
- anne-gwenn.bosser@enib.fr
- Tristan.Miller@umanitoba.ca
- ricardo.campos@ubi.pt