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VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity Recognition
By combining the LLM's understanding of instructions with sequence labeling techniques, we use mix of datasets to train a model capable of extracting various types of entities.
Inspire the Large Language Model by External Knowledge on BioMedical Named Entity Recognition
In this paper, inspired by Chain-of-thought, we leverage the LLM to solve the Biomedical NER step-by-step: break down the NER task into entity span extraction and entity type determination.
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