35.2138, Calls: 1st Workshop on Computational Humor

[The LINGUIST List]

LINGUIST List: Vol-35-2138. Mon Jul 29 2024. ISSN: 1069 - 4875.

Subject: 35.2138, Calls: 1st Workshop on Computational Humor

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================================================================


Date: 28-Jul-2024
From: Tristan Miller [Tristan.Miller at umanitoba.ca]
Subject: 1st Workshop on Computational Humor


Full Title: 1st Workshop on Computational Humor
Short Title: CHum 2025

Date: 19-Jan-2025 - 20-Jan-2025
Location: online, United Arab Emirates
Contact Person: Tristan Miller
Meeting Email: chum at groups.io
Web Site: https://chum2025.github.io/

Linguistic Field(s): Computational Linguistics

Call Deadline: 15-Nov-2024

Meeting Description:

The 1st Workshop on Computational Humor (CHum 2025) will take place
virtually on January 19 or 20, 2025 (exact date TBD) as part of the
31st International Conference on Computational Linguistics (COLING
2025).

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.

Call for Papers:

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 or 20, 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 at groups.io



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