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Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3
To that end, we present an approach using the powerful GPT-3 language model to extract structured multi-step seed-mediated growth procedures and outcomes for gold nanorods from unstructured scientific text.
Structured information extraction from complex scientific text with fine-tuned large language models
Here, we present a simple sequence-to-sequence approach to joint named entity recognition and relation extraction for complex hierarchical information in scientific text.
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
This has created a challenge to traditional methods of engagement with the research literature; the volume of new research is far beyond the ability of any human to read, and the urgency of response has lead to an increasingly prominent role for pre-print servers and a diffusion of relevant research across sources.
