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cs.CL2023
Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain
Annerose Eichel, Helena Schlipf, Sabine Schulte im Walde
We propose a novel approach to learn domain-specific plausible materials for components in the vehicle repair domain by probing Pretrained Language Models (PLMs) in a cloze task st…
cs.CL2023★ 1 cited
NAP at SemEval-2023 Task 3: Is Less Really More? (Back-)Translation as Data Augmentation Strategies for Detecting Persuasion Techniques
Neele Falk, Annerose Eichel, Prisca Piccirilli
Persuasion techniques detection in news in a multi-lingual setup is non-trivial and comes with challenges, including little training data. Our system successfully leverages (back-)…