4th Workshop on Humanities-Centred Artificial Intelligence (CHAI 2024)
AI can support research in the Humanities making it easier and more efficient. It is thus essential that AI practitioners and Humanities scholars take a Humanities-centred approach to the development, deployment and application of AI methods for the Humanities. The presentations of the 4th CHAI workshop were as follows: Hagen Peukert, Lucas F. Voges, S. Melzer<br> <strong>Keynote - Humanities in the Center of Data Usability: Data Visualization in Institutional Research Repositories </strong><br> (download presentation) Jeffrey Wolf<br> <strong>The Challenges of Multilingualism in the Search for Ancient Wisdom: A Case Study of VERITRACE’S Text Matching Tool</strong>*<br> (download presentation) Magnus Bender<br> <strong>Automate Text Processing for Schematically Analyzing Legal Texts </strong><br> (download presentation) Thomas Asselborn, Karsten Helmholz, Ralf Möller<br> <strong>Retrieving Information Presented on Webpages Using Large Language Models: A Case Study </strong><br> (download presentation) Edyta Jurkiewicz Rohrbacher<br> <strong>Translation task as a method for testing the syntactic competence of Large Language Models: Dative ambiguity in Russian </strong><br> (download presentation) Hui Xu, Thomas Asselborn, Haiyan Hu-von Hinüber, Oskar von Hinüber, Sylvia Melzer<br> <strong>Tracing the Palola Shahi Royal Genealogy by Fusing LLMs and Databases?: A Case Study </strong><br> (download presentation) Christian Reul, Maximilian Nöth, Herbert Baier, Florian Langhanki, Kevin Chadbourne<br> <strong>Invited presentation - Human Centred Open Source Automatic Text Recognition for the Humanities with OCR4all</strong><br> (download presentation) *(Previous title submitted: From Data Acquisition to Latent Semantic Analysis: Developing VERITRACE's Computational Approach to Tracing the Influence of Ancient Wisdom in Early Modern Natural Philosophy)
Institutions
- Universität Hamburg (DE)
- Saxon Academy of Sciences and Humanities in Leipzig (DE)
Publication Details
- Journal
- Universität Hamburg
- Published
- 2024-10-07
- DOI
- https://doi.org/10.25592/uhhfdm.15983
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00