TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis

Juraj Vladika, Stephen Meisenbacher, Florian Matthes. TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. In Sebastian Möller 0001, Salar Mohtaj, Babak Naderi, editors, Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text, GermEval@KONVENS 2022, Potsdam, Germany, September 12, 2022. pages 51-56, Association for Computational Linguistics, 2022. [doi]

Abstract

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