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Miriam Anschütz
Miriam Anschütz
Other namesMiriam Anschutz, Miriam Anschuetz
PhD Student of Computer Science, Technical University of Munich
Verified email at tum.de
Title
Cited by
Cited by
Year
Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training
M Anschütz, J Oehms, T Wimmer, B Jezierski, G Groh
Findings of the Association for Computational Linguistics: ACL 2023, 1147–1158, 2023
112023
This is not correct! Negation-aware Evaluation of Language Generation Systems
M Anschütz, D Miguel Lozano, G Groh
Proceedings of the 16th International Natural Language Generation Conference …, 2023
32023
An analysis of programming course evaluations before and after the introduction of an autograder
G Hagerer, L Lahesoo, M Anschütz, S Krusche, G Groh
2021 19th International Conference on Information Technology Based Higher …, 2021
32021
Retrieving users’ opinions on social media with multimodal aspect-based sentiment analysis
M Anschütz, T Eder, G Groh
2023 IEEE 17th International Conference on Semantic Computing (ICSC), 1-8, 2023
12023
TUM Social Computing at GermEval 2022: Towards the Significance of Text Statistics and Neural Embeddings in Text Complexity Prediction
M Anschütz, G Groh
Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of …, 2022
12022
Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?
M Anschütz, E Mosca, G Groh
arXiv preprint arXiv:2404.06838, 2024
2024
A Scenario-Based Approach to the Design and Use of Ethical AI Models in Managing a Health Pandemic
G Groh, D Brand, J van der Merwe, ME Hoffmann, T Eder, E Mosca, ...
2021
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