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Mattes Ruckdeschel
Mattes Ruckdeschel
Hans-Bredow Institute for Media Research
Verified email at leibniz-hbi.de - Homepage
Title
Cited by
Cited by
Year
Boundary detection and categorization of argument aspects via supervised learning
M Ruckdeschel, G Wiedemann
Proceedings of the 9th Workshop on Argument Mining, 126-136, 2022
72022
Few-shot learning for argument aspects of the nuclear energy debate
L Jurkschat, G Wiedemann, M Heinrich, M Ruckdeschel, S Torge
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
42022
Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine
J Rieger, K Yanchenko, M Ruckdeschel, G von Nordheim, KK Königslöw, ...
arXiv preprint arXiv:2312.16975, 2023
2023
Term-based and Embedding-based Similarity Search in Large Unknown Text Datasets
M Ruckdeschel
2020
Few-shot learning for automated content analysis (FLACA)
J Rieger, M Ruckdeschel, K Yanchenko, G von Nordheim, ...
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