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Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. (arXiv:2209.10335v2 [cs.CL] UPDATED)
cs.CL updates on arXiv.org arxiv.org
Natural Language Processing (NLP) has become increasingly utilized to provide
adaptivity in educational applications. However, recent research has
highlighted a variety of biases in pre-trained language models. While existing
studies investigate bias in different domains, they are limited in addressing
fine-grained analysis on educational and multilingual corpora. In this work, we
analyze bias across text and through multiple architectures on a corpus of
9,165 German peer-reviews collected from university students over five years.
Notably, our corpus includes labels such as …
arxiv bias data data modeling deep dive educational german modeling peer peer-review review