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Caufield JH, Hegde H, Emonet V et al. Transforming unstructured biomedical texts with large language models [version 1; not peer reviewed]. F1000Research 2023, 12:985 (slides) (https://doi.org/10.7490/f1000research.1119583.1)
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Transforming unstructured biomedical texts with large language models

J. Harry Caufield1, Harshad Hegde, Vincent Emonet, Nomi Harris, Marcin Joachimiak, Nicolas Matentzoglu, Sierra Moxon, Justin Reese, Melissa Haendel, Peter Robinson, Christopher Mungall
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Published 15 Aug 2023

Transforming unstructured biomedical texts with large language models

[version 1; not peer reviewed]

J. Harry Caufield1, Harshad Hegde, Vincent Emonet, Nomi Harris, Marcin Joachimiak, Nicolas Matentzoglu, Sierra Moxon, Justin Reese, Melissa Haendel, Peter Robinson, Christopher Mungall
Author Affiliations
1 Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, USA
Presented at
European Conference on Computational Biology (ECCB), 2023
Abstract
Competing Interests

No competing interests were disclosed

Keywords
information extraction, large language models, natural language processing, zero-shot learning, data models
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