JOKER 2025: Humour in the Machine

JOKER aims to foster interdisciplinary approaches to the (semi-)automatic analysis and processing of humour and wordplay.

Tasks:

  • 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.

  • Task 2 - Wordplay Translation

    For Task 2, the goal is to translate English punning jokes into French.

  • 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.

  • 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