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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).

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