Biomedical Named Entity Recognition

Biomedical Named Entity Recognition (BioNER) focuses on automatically identifying and classifying key entities like genes, diseases, and chemicals within biomedical text. Current research emphasizes improving accuracy and efficiency through various approaches, including leveraging large language models (LLMs) like BERT and its variants, transfer learning from general-domain NER datasets, and incorporating external knowledge bases to enhance model understanding. Advances in BioNER are crucial for facilitating efficient information extraction from the vast amount of biomedical literature, ultimately accelerating scientific discovery and improving healthcare applications.