8 citations · 17 across the 8 of their papers we have counts for
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cs.CL2022★ 2 cited
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP
Johann Frei, Frank Kramer
Obtaining text datasets with semantic annotations is an effortful process, yet crucial for supervised training in natural language processsing (NLP). In general, developing and app…
cs.CL2022★ 5 cited
GERNERMED++: Transfer Learning in German Medical NLP
Johann Frei, Ludwig Frei-Stuber, Frank Kramer
We present a statistical model for German medical natural language processing trained for named entity recognition (NER) as an open, publicly available model. The work serves as a…
cs.CY2022
Perspective on Code Submission and Automated Evaluation Platforms for University Teaching
Florian Auer, Johann Frei, Dominik Müller +1
We present a perspective on platforms for code submission and automated evaluation in the context of university teaching. Due to the COVID-19 pandemic, such platforms have become a…