Machine Learning and Digital Humanities — 5 July 2024
This one-day workshop is jointly organized by the Center for Data and Simulation Science (CDS) and the Cologne Center for eHumanities (CCeH).
Date: 5 July 2024, 9 a.m. to approx. 2:30 p.m.
Location: Main building of the University of Cologne, Neuer Senatssaal
Organization
Contact: cds-workshop(at)uni-koeln.de
Program
| 09:00 – 09:20 | Opening | A. Klawonn, N. Reiter |
| 09:20 – 10:00 | Keynote | J. Stalter |
| 10:00 – 10:30 | Break | |
| 10:30 – 11:15 | Pitches | 5 minute per pitch incl. time to switch, no discussions |
| 11:15 – 12:15 | Poster session | |
| 12:15 | Begin lunch break | |
| 12:30 – 13:30 | Lunch + Group discussions | 1 representative per group |
| 13:30 – 14:00 | Wrap-up | Representatives present group discussion results |
Contributions
Pitches
| Topic | Group / Speaker |
|---|---|
| Potentials of LLMs in dealing with Regesten | Jan Bigalke, Jonathan Blumtritt, Benedikte Löbbert |
| Medieval Manuscripts, Metadata, and Machine Learning | Hannah Busch |
| Detecting Die Similarities in the Cologne Coin Research Portal | Moritz Esser, Claes Neuefeind |
| Revisiting the orthographic prediction error in visual word recognition: Using computational modeling and deep learning to investigate visual processing in reading | Wanlu Fu |
| Pattern recognition in biological signals for the identification of clinical phenotypes | Anna Markser, Maximilian Schmaußer, Julian Koenig |
| Letter identification based on gabor features | Janos Pauli |
| Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama | Axel Pichler, Janis Pagel, Nils Reiter |
| Fragment Matching - Reconstructing Fragmentary Papyri | Marcel Schaeben, Moritz Esser, Claes Neuefeind |
| Predicting signs of problem-gambling from online texts using large language models | Elke Smith, Nils Reiter, Jan Peters |
Poster
The groups with pitches are invited to bring posters to discuss their topic during the poster session.
Furthermore, two machine learning–related posters will be displayed:
| Topic | Group |
|---|---|
| Machine Learning and Visualization | Max Sondag (Tatiana Landesberger von Antburg) |
| Scientific Machine Learning | Axel Klawonn, Janine Weber |
