Call for papers: The First Workshop on Natural Language Processing and Language Models for Digital Humanities (LM4DH_2025) @ RANLP_2025

[Isuri Anuradha]

Call for papers: The First Workshop on Natural Language Processing and Language Models for Digital Humanities 

(LM4DH_2025) @ RANLP_2025

Date: 11^th- to 13^th September 2025 (TBC)

Venue : Varna, Bulgaria

Website: https://www.clarin.eu/event/2025/clarin-workshop-ranlp-2025
Submissions Portal: https://softconf.com/ranlp25/LM4DH2025/

 

Digital Humanities has emerged as an interdisciplinary field of research, serving as an intersection of computer science with many other fields such as linguistics, social sciences, history, psychology, etc. With the development of Large Language Models (LLMs), state-of-the-art Natural Language Processing (NLP) tasks such as entity recognition, sentiment analysis, and text summarisation have been significantly enhanced, offering powerful tools to analyse and interpret complex historical and cultural data. These developments offer transformative capabilities for analysing and interpreting complex historical and cultural datasets, including oral histories, archival documents, and literary texts. These advancements provide powerful tools for analysing and interpreting intricate historical, cultural, and social data, enabling researchers to identify patterns, extract meaningful relationships, and generate interpretations at unprecedented scale and precision.

 

This workshop aims to provide a common platform for researchers, practitioners, and students from diverse disciplines to collaboratively explore and apply AI-driven techniques in the Digital Humanities. Through interdisciplinary discussion, the event aims to generate creative approaches, exchange best practices, and create a community committed to furthering AI-based research on human culture and history. The focus of the workshop is on applying natural language processing techniques to digital humanities research. The topics can be anything of digital humanities interest with a natural language processing or LLM-based application. We expect contributions related (but not limited) to the following topics:

 

• Text analysis and processing related to the humanities using computational methods
• Usage of the interpretability of large language models' output for DH-related tasks 
• Dataset creation and curation for NLP (e.g. digitisation, datafication, and data preservation
• Automatic error detection, correction, and normalisation of textual data
• Generation and analysis of literary works such as poetry and novels
• Analysis and detection of text genres
• Emotion analysis for the humanities and literature
• Modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage
• Low-resource and historical language processing
• Search for scientific and/or scholarly literature
• Profiling and authorship attribution

Submission & Publication

All papers must represent original and unpublished work that is not currently under review. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop.

Submissions must follow the RANLP 2025 submission guidelines, using ACL-style templates (LaTeX or MS Word).

Paper must be submitted using SoftConf at https://softconf.com/ranlp25/LM4DH2025/

All papers will be double-blind peer reviewed. The authors of the accepted papers will present their work in either the oral or poster session. All accepted papers will appear in the workshop proceedings and will be published in the ACL Anthology.

Important Dates

• Paper submission deadline: 20^th July 2025
• Notification of acceptance: 2^nd August 2025
• Camera-ready paper: 20^th August 2025
• Workshop date: 11th September 2025

Organising Committee

• Isuri Anuradha, Lancaster University, UK
• Francesca Frontini, CNR-ILC, Italy & CLARIN ERIC
• Paul Rayson, Lancaster University, UK
• Ruslan Mitkov, Lancaster University, UK
• Deshan Sumanathilake, Swansea University, UK

 

 

This workshop has been organised with the generous support and coordination of CLARIN-EU.

Gmail:  dhra...@gmail.com