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 models category. It focuses on applying natural language processing to biomedical literature and clinical text where general models underperform. Biobert Base Cased is an open-source project aimed at researchers. The project is open source (Open Source). Biobert Base Cased is available on the web and API.
It is developed by dmis-lab.
Summary written by a language model from the project’s public pages.
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