Feb. 12, 2024, 5:46 a.m. | Ehsan Latif Gyeong-Geon Lee Knut Neuman Tamara Kastorff Xiaoming Zhai

cs.CL updates on arXiv.org arxiv.org

The advancement of natural language processing has paved the way for automated scoring systems in various languages, such as German (e.g., German BERT [G-BERT]). Automatically scoring written responses to science questions in German is a complex task and challenging for standard G-BERT as they lack contextual knowledge in the science domain and may be unaligned with student writing styles. This paper developed a contextualized German Science Education BERT (G-SciEdBERT), an innovative large language model tailored for scoring German-written responses to …

advancement assessment automated bert cs.ai cs.cl german knowledge language language processing languages llm natural natural language natural language processing processing questions responses science scoring standard systems tasks

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