Call for papers: 2nd Workshop on Computational Humor (CHum 2026)
The 2nd Workshop on Computational Humor (CHum 2026) will take place virtually on July 3 or 4, 2026 as part of the 64th Annual Meeting of the the Association for Computational Linguistics (ACL 2026).
Scope and topics
CHum 2026 aims to foster further work on modeling the processes of humor with current methods in computational linguistics and natural language processing, against the theoretical backdrop of humor research and with reference to relevant corpora of textual, visual, and multimodal materials. A principal goal of the workshop is to unite researchers who can together probe the limits of various meaning representations – symbolic, neural, and hybrid – for humor processing.
We welcome contributions on any topic relevant to the computational processing of humor, including but not limited to the following:
- LLMs, knowledge representation
- Resources and evaluation
- Human-computer interaction
- Computer-mediated communication
- Assisted content creation
- Machine and computer-assisted translation
- Digital humanities applications
- Formal modeling of humor
- Proof-of-concept humor detection and classification
Particularly encouraged are submissions describing inter- or multi-disciplinary work, whether completed or in progress, and position papers that critically discuss the past, present, and future of computational humor systems.
Submission instructions
Long and short papers should be formatted according to the same guidelines for the main ACL 2026 conference papers. Submission instructions will be added to a future version of this call and also posted to the CHum 2026 website.
Important dates
All deadlines are at 23:59 UTC-12:00 (“anywhere on Earth”).
- Initial submission: March 5, 2026
- Notification of acceptance: April 28, 2026
- Camera-ready submission: May 12, 2026
- Workshop: July 3 or 4, 2026
Organizers
- Christian F. Hempelmann, East Texas A&M University
- Julia Rayz, Purdue University
- Ori Amir, Fulbright University Vietnam
- Tristan Miller, University of Manitoba
- Tiansi Dong, University of Cambridge
Further information
- Website: https://chumweb.org/
- E-mail: chum [at] groups.io