HHUplexity at Text Complexity DE Challenge 2022
2022-09-01GermEval 2022Unverified0· sign in to hype
David Arps, Jan Kels, Florian Krämer, Yunus Renz, Regina Stodden, Wiebke Petersen
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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.