Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 14th June 2025, 06:21:07pm WEST

 
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Session Overview
Session
LP-25
Time:
Friday, 18/July/2025:
9:00am - 10:30am

Session Chair: Paul Barrett, University of Guelph
Location: B304 (TB)

64 places

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Presentations

Exploring intellectual history with dynamic word embeddings: semantic change in 18th-century France

Glenn Roe, Valentina Fedchenko, Dario Nicolosi

ModERN Project, Sorbonne University, France

This study leverages dynamic contextual embeddings to analyze conceptual evolution in 18th-century French texts. Employing fine-tuned BERT and CamemBERT models, we identify diachronic semantic shifts across historical subcorpora. Quantitative metrics and qualitative assessments reveal nuanced changes in key concepts land concept clusters, advancing methods in computational intellectual history.



Uncovering Historical Insights: A Framework for Explaining Historical Data through Graphs and LLM

Han-Chun Ko1, Pin-Yi Lee1, Ya-Chi Chan3, Richard Tzong-Han Tsai1,2

1Department of Computer Science and Information Engineering, National Central University, Taiwan; 2Center for GIS, Research Center for Humanities and Social Sciences, Academia Sinica, Taiwan; 3Institute for Sustainable Heritage, University College London, United Kingdom

This study presents a historical interpretation system using relationship network graphs to analyze power dynamics, exemplified by civil officials' military authority. By integrating Retrieval-Augmented Generation (RAG) with large language models (LLMs), the system retrieves and interprets relational data, uncovering hidden details and enhancing historical text analysis with clear, explainable outputs.



Digital John Norton, Teyoninhokarawen

Paul Barrett

University of Guelph, Canada

This paper discusses digital humanities approaches, including Named Entity Recognition, machine learning OCR methods, and topic modeling of a handwritten Indigenous Journal by John Norton, Teyoninhokarawen. This recently-discovered journal is an account of Norton's travels from Canada to America and Britain; we use DH method to analyze the journal.



 
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