Florian Krämer


HHUplexity at Text Complexity DE Challenge 2022
David Arps | Jan Kels | Florian Krämer | Yunus Renz | Regina Stodden | Wiebke Petersen
Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text

In this paper, we describe our submission to the ‘Text Complexity DE Challenge 2022’ shared task on predicting the complexity of German sentences. We compare performance of different feature-based regression architectures and transformer language models. Our best candidate is a fine-tuned German Distilbert model that ignores linguistic features of the sentences. Our model ranks 7th place in the shared task.