Call for papers: 1st Workshop on Computational Humor (CHum 2025) ================================================================
The 1st Workshop on Computational Humor (CHum 2025) will take place virtually on January 19, 2025 as part of the 31st International Conference on Computational Linguistics (COLING 2025).
Scope and topics ----------------
CHum 2025 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 COLING 2025 conference papers https://coling2025.org/calls/submission_guidlines/ and submitted through START: https://softconf.com/coling2025/CompHum25/
Important dates ---------------
All deadlines are at 23:59 UTC-12:00 ("anywhere on Earth").
* Initial submission: November 15, 2024 * Notification of acceptance: December 2, 2024 * Camera-ready submission: December 13, 2024 * Workshop: January 19, 2025
Organizers ----------
* Christian F. Hempelmann, Texas A&M University-Commerce * Julia Rayz, Purdue University * Tiansi Dong, Fraunhofer IAIS * Tristan Miller, University of Manitoba
Further information -------------------
* Website: https://chum2025.github.io/ * E-mail: chum@groups.io