CLEF 2026 JOKER Track Humour Detection, Search, and Translation

Authors
  • Liana Ermakova
  • Igor Kuzmin
  • Poojan Vachharajani
  • Tristan Miller
Publication date 2026
Host editors
  • Ricardo Campos
  • Adam Jatowt
  • Yanyan Lan
  • Mohammad Aliannejadi
  • Christine Bauer
  • Sean MacAvaney
  • Avishek Anand
  • Zhaochun Ren
  • Suzan Verberne
  • Nan Bai
  • Masoud Mansoury
Book title Advances in Information Retrieval
Book subtitle 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29–April 2, 2026 : proceedings
ISBN
  • 9783032213204
ISBN (electronic)
  • 9783032213211
Series Lecture Notes in Computer Science
Event 48th European Conference on Information Retrieval, ECIR 2026
Volume | Issue number IV
Pages (from-to) 242-250
Number of pages 9
Publisher Cham: Springer
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract

The JOKER Track has created an active community of researchers in NLP and IR working together on the non-literal use of language in text – which is still challenging for both AI models and humans, as it requires understanding implicit cultural references and double meanings. Its benchmarks on humorous text analysis, retrieval, and translation have become standard references. We made significant changes to the track’s setup and tasks in 2024 and 2025, and propose continuing these to complete the test collections. The CLEF 2026 JOKER track will contain the following four tasks: Task 1 (Humour-aware Information Retrieval): Retrieve short humorous texts for a query, Task 2 (Pun Translation): translate puns from English to French and Spanish, Task 3 (Onomastic Wordplay Translation): translate onomastic wordplay from English to French, and Task 4 (Humour Generation): Guided Creativity.

Document type Conference contribution
Language English
Published at
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Downloads
978-3-032-21321-1_34 (Embargo up to 2026-09-24) (Final published version)
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