LaTeCH-CLfL 2025:
The 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural
Heritage, Social Sciences, Humanities and Literature
to be held on May 3rd or 4th, 2025 in conjunction with NAACL 2025
<https://2025.naacl.org/> in Albuquerque, NM.
https://sighum.wordpress.com/latech-clfl-2025/
Second Call for Papers (with apologies for cross-posting)
Organisers: Diego Alves, Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna
Kazantseva, Janis Pagel, Stan Szpakowicz
LaTeCH-CLfL 2025 is the ninth in a series of meetings for NLP researchers who
work with data from the broadly understood arts, humanities and social
sciences, and for specialists in those disciplines who apply NLP techniques in
their work. The workshop continues a long tradition of annual meetings. The
SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences,
and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on
Computational Linguistics for Literature (CLfL) took place in 2012-2016. The
first eight joint workshops (LaTeCH-CLfL) were held in 2017-2024.
Topics and content
In the Humanities, Social Sciences, Cultural Heritage and literary communities,
there is increasing interest in, and demand for, NLP methods for semantic and
structural annotation, intelligent linking, discovery, querying, cleaning and
visualization of both primary and secondary data. This is even true of
primarily non-textual collections, given that text is also the pervasive medium
for metadata. Such applications pose new challenges for NLP research: noisy,
non-standard textual or multi-modal input, historical languages, vague research
concepts, multilingual parts within one document, and so no. Digital resources
often have insufficient coverage; resource-intensive methods require
(semi-)automatic processing tools and domain adaptation, or intense manual
effort (e.g., annotation).
Literary texts bring their own problems, because navigating this form of
creative expression requires more than the typical information-seeking tools.
Examples of advanced tasks include the study of literature of a certain period,
author or sub-genre, recognition of certain literary devices, or quantitative
analysis of poetry.
NLP methods applied in this context not only need to achieve high performance,
but are often applied as a first step in research or scholarly workflow. That
is why it is crucial to interpret model results properly; model
interpretability might be more important than raw performance scores, depending
on the context.
More generally, there is a growing interest in computational models whose
results can be used or interpreted in meaningful ways. It is, therefore, of
mutual benefit that NLP experts, data specialists and Digital Humanities
researchers who work in and across their domains get involved in the
Computational Linguistics community and present their fundamental or applied
research results. It has already been demonstrated how cross-disciplinary
exchange not only supports work in the Humanities, Social Sciences, and
Cultural Heritage communities but also promotes work in the Computational
Linguistics community to build richer and more effective tools and models.
Topics of interest include, but are not limited to, the following:
• adaptation of NLP tools to Cultural Heritage, Social Sciences,
Humanities and literature;
• automatic error detection and cleaning of textual data;
• complex annotation schemas, tools and interfaces;
• creation (fully- or semi-automatic) of semantic resources;
• creation and analysis of social networks of literary characters;
• discourse and narrative analysis/modelling, notably in literature;
• emotion analysis for the humanities and for literature;
• generation of literary narrative, dialogue or poetry;
• identification and analysis of literary genres;
• interpretability of large language models output for DH-related tasks
(explainable AI);
• linking and retrieving information from different sources, media, and
domains;
• low-resource and historical language processing;
• modelling dialogue literary style for generation;
• modelling of information and knowledge in the Humanities, Social
Sciences, and Cultural Heritage;
• profiling and authorship attribution;
• search for scientific and/or scholarly literature;
• work with linguistic variation and non-standard or historical use of
language.
Information for authors
We invite papers on original, unpublished work in the topic areas of the
workshop. In addition to long papers, we will consider short papers and system
descriptions (demos). We also welcome position papers.
• Long papers, presenting completed work, may consist of up to eight (8)
pages of content plus additional pages of references (just two if possible -:).
The final camera-ready versions of accepted long papers will be given one
additional page of content (up to 9 pages) so that reviewers’ comments can be
taken into account.
• A short paper / demo presenting work in progress, or the description
of a system, and may consist of up to four (4) pages of content plus additional
pages of references (one if you can). Upon acceptance, short papers will be
given five (5) content pages in the proceedings.
• A position paper — clearly marked as such — should not exceed eight
(8) pages including references.
All submissions are to follow the *ACL paper styles (for LaTeX / Overleaf and
MS Word) available at https://github.com/acl-org/acl-style-files. Papers should
be submitted electronically, only in PDF, via the LaTeCH-CLfL 2025 submission
website on the SoftConf pages (we will publish the link as soon as we have it).
Reviewing will be double-blind. Please do not include the authors’ names and
affiliations, or any references to Web sites, project names, acknowledgements
and so on — anything that immediately reveals the authors’ identity.
Self-references should be kept to a reasonable minimum, and anonymous citations
cannot be used.
Submission link: https://softconf.com/naacl2025/LaTeCH-CLfL2025/
Important dates (tentative)
Workshop paper due: January 30, 2025
Notification of acceptance: March 1, 2025
Camera-ready papers due: March 10, 2025
Workshop date: May 3rd or 4th, 2025
More on the organizers
Diego Alves, Language Science and Technology, Saarland University
Yuri Bizzoni, Center for Humanities Computing / School for Communication and
Culture, Århus University
Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland
University
Anna Kazantseva, National Research Council Canada
Janis Pagel, Department of Digital Humanities, University of Cologne
Stan Szpakowicz, School of Electrical Engineering and Computer Science,
University of Ottawa
Contact
[email protected] <mailto:[email protected]>_______________________________________________
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