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  # MEDNER.DE: Medicinal Product Entity Recognition in German-Specific Contexts
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- Released in December 2024, this is a German BERT language model further pretrained on `deepset/gbert-base` using a pharmacovigilance-related case summary corpus.** The model has been fine-tuned for Named Entity Recognition (NER) tasks on an automatically annotated dataset to recognize medicinal products such as medications and vaccines.
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  In our paper, we outline the steps taken to train this model and demonstrate its superior performance compared to previous approaches
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  # MEDNER.DE: Medicinal Product Entity Recognition in German-Specific Contexts
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+ Released in December 2024, this is a German BERT language model further pretrained on `deepset/gbert-base` using a pharmacovigilance-related case summary corpus. The model has been fine-tuned for Named Entity Recognition (NER) tasks on an automatically annotated dataset to recognize medicinal products such as medications and vaccines.
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  In our paper, we outline the steps taken to train this model and demonstrate its superior performance compared to previous approaches
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