HIIG at GermEval 2022: Best of Both Worlds Ensemble for Automatic Text Complexity Assessment
Asghari, H. & Hewett, F.
GermEval, Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text, 15-20
In this paper we explain HIIG’s contribution to the shared task Text Complexity DE Challenge 2022. Our best-performing model for the task of automatically determining the complexity level of a German-language sentence is a combination of a transformer model and a classic feature-based model, which achieves a mapped root square mean error of 0.446 on the test data.