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

The impressive recent progress in generative AI has enabled new approaches to complex tasks that can be thought of as essentially human, such as producing or understanding humor. For its part, humor research has become a mature, interdisciplinary field, both in theoretical advances across disciplines such as psychology, linguistics, and sociology, and in a breadth of purview and empirical support. Our workshop 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.

Being more dependent on context and inference than straightforward forms of communication, humor poses particular challenges for probabilistic approaches. In some cases, the required background knowledge may not be available from a single modality, such as a text, and as such may not be machine-learnable in a straightforward manner. With this in mind, a principal goal of this workshop is to unite researchers who can together probe the limits of various meaning representations—symbolic, neural, and hybrid—for humor processing.

Submission information

CHum 2025 welcomes contributions on any topic relevant to the computational processing of humor. 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. Please refer to the call for papers for further information on topics and submission instructions.

Invited Speakers

Salvatore Attardo

Salvatore Attardo
Texas A&M University–Commerce

Tony Veale

Tony Veale
University College Dublin

Willibald Ruch

Willibald Ruch
University of Zurich

Liang Yang

Liang Yang
Dalian University of Technology

Organizers

Christian F. Hempelmann

Christian F. Hempelmann
Texas A&M University–Commerce

Julia Rayz

Julia Rayz
Purdue University

Tiansi Dong

Tiansi Dong
Fraunhofer IAIS & University of Cambridge

Tristan Miller

Tristan Miller
University of Manitoba

Contact

To reach the organizers with any questions or comments, please e-mail chum@groups.io.