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Identifies relationships between biomedical entities such as chemicals, diseases, and drugs from text.
Distinct from Biomedical Entity Linking: Distinct from Biomedical Entity Linking: focuses on extracting relationships between entities, not just linking them to knowledge bases.
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BioGPT is a biomedical large language model and domain-specific transformer designed for processing and creating specialized medical text. It functions as a generative tool and knowledge extraction engine trained on large-scale scientific literature to produce human-like scientific prose and factual responses to queries. The project provides specialized capabilities for biomedical named entity recognition and the extraction of complex relations from unstructured medical corpora. It is designed to identify and classify biological entities through data mining and relation extraction to support
Identifies relationships between biomedical entities such as chemicals, diseases, and drugs from text.