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 in Albuquerque, NM.

https://sighum.wordpress.com/latech-clfl-2025/

First 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.


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. Please find submission requirements on the website https://sighum.wordpress.com/latech-clfl-2025/.



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

latech-clfl@googlegroups.com