Vol-3814
urn:nbn:de:0074-3814-0

Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

CHAI 2024
Humanities-Centred Artificial Intelligence 2024

Proceedings of the Workshop on Humanities-Centred Artificial Intelligence
co-located with 47th German Conference on Artificial Intelligence, September 23 - September 27, 2024: Würzburg, Germany (KI 2024)

Würzburg, Germany, September 23, 2024.

Edited by

Sylvia Melzer ,,
Hagen Peukert
Stefan Thiemann
Erik Radisch *

* University of Hamburg, Centre for the Study of Manuscript Cultures (CSMC), 20354 Hamburg, Germany
** University of Hamburg, Institute for Humanities-Centered Artificial Intelligence (CHAI), 20354 Hamburg, Germany
*** University of Hamburg, Cluster of Excellence ‘Understanding Written Artefacts’ (UWA), 20354 Hamburg, Germany
****University of Hamburg, Center for Sustainable Research Data Management, 20146 Hamburg, Germany
*****Sächsische Akademie der Wissenschaften zu Leipzig, 04107 Leipzig, Germany

Table of Contents

Introduction to the Fourth Workshop on Humanities-Centred Artificial Intelligence1-4
Sylvia Melzer, Hagen Peukert, Stefan Thiemann, Erik Radisch

Summary: There were 7 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume, 3 as regular papers and 2 as short papers.

Regular Papers

From Data Acquisition to Latent Semantic Analysis: Developing VERITRACE's Computational Approach to Tracing the Influence of Ancient Wisdom in Early Modern Natural Philosophy 5-28
Jeffrey C. Wolf, Nicolò Cantoni, Eszter Kovács, Demetrios Paraschos, Cornelis J. Schilt
Testing the Syntactic Competence of Large Language Models with a Translation Task 29-38
Edyta Jurkiewicz-Rohrbacher
Tracing the Palola Shahi Royal Genealogy by Fusing LLMs and Databases?: A Case Study 39-50
Hui Xu, Thomas Asselborn, Haiyan Hu-von Hinüber, Oskar von Hinüber, Sylvia Melzer

Short Papers

Automate Text Processing for Schematically Analyzing Legal Texts 51-58
Magnus Bender
Retrieving Information Presented on Webpages Using Large Language Models: A Case Study 59-66
Thomas Asselborn, Karsten Helmholz, Ralf Möller

Invited Papers

Humanities in the Center of Data Usability: Data Visualization in Institutional Research Repositories 67-74
Hagen Peukert, Lucas F. Voges, Thomas Asselborn, Magnus Bender, Ralf Möller, Sylvia Melzer
Human-Centred Open-Source Automatic Text Recognition for the Humanities with OCR4all 75-82
Christian Reul, Maximilian Nöth, Herbert Baier, Florian Langhanki, Kevin Chadbourne

2024-10-22: submitted by Sylvia Melzer, metadata incl. bibliographic data published under Creative Commons CC0
2024-10-30: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|