most citedClinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting

10 citations · 10 across the 1 of their papers we have counts for

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1 paper

cs.CL2024★ 10 cited

Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting

Phillip Richter-Pechanski, Philipp Wiesenbach, Dominic M. Schwab +4

Automatic extraction of medical information from clinical documents poses several challenges: high costs of required clinical expertise, limited interpretability of model predictio…