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Structured information extraction from scientific text with large language models

Chemistry

Structured information extraction from scientific text with large language models

J. Dagdelen, A. Dunn, et al.

Unlock the potential of complex scientific knowledge extraction with a simple approach to joint named entity recognition and relation extraction, developed by John Dagdelen and colleagues. Explore how pre-trained language models can be fine-tuned to catalog extensive databases from research papers in materials chemistry.

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