BioBERT is a pre-trained language model initialized from BERT and further trained on large-scale biomedical corpora including PubMed abstracts and PMC full-text articles. It is used for named entity recognition, relation extraction, and question answering in the biomedical domain. The model is widely adopted in medical AI research and available via the Transformers library.
Biobert Base Cased sits in PulseGate's Other AI category. It focuses on applying natural language processing to biomedical literature and clinical text where general models underperform. It is built as an open-source project for researchers. Biobert Base Cased is open source under the Open Source license. The product ships for the web and API.
It is developed by dmis-lab.
Latest indexed changes and source events
dmis-lab/biobert-base-cased-v1.1 verified by the PulseGate indexer
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