Transformers Applied in Scientific Text Mining

Transformers help extract information from biomedical and scientific literature efficiently.

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🤯 Did You Know (click to read)

BioBERT achieved state-of-the-art performance on biomedical NER and relation extraction benchmarks upon release.

Models like BioBERT are pretrained on biomedical corpora, using self-attention to capture domain-specific context. They perform tasks like entity recognition, relation extraction, and question answering in scientific text, enabling automated knowledge discovery.

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💥 Impact (click to read)

Scientific text mining using Transformers accelerates literature review, data curation, and discovery of relationships between entities like genes, drugs, and diseases.

Researchers and students can access AI-generated insights from vast scientific publications rapidly, improving analysis and decision-making.

Source

Lee et al., 2020 - BioBERT

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