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🤯 Did You Know (click to read)
BioBERT achieved state-of-the-art performance on biomedical named entity recognition and relation extraction benchmarks.
Pretrained Transformers like BERT or BioBERT encode documents and predict entities, relations, and facts using attention layers. This enables automatic knowledge base construction, entity linking, and relationship discovery in domains like biomedicine, law, and finance.
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💥 Impact (click to read)
Knowledge extraction accelerates research, decision-making, and information retrieval by structuring unstructured text efficiently.
Researchers and professionals can access curated insights from large datasets without manual annotation or review.
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