<p>Characterization and automated classification of sentences in the biomedical literature: a case study for biocuration of gene expression and protein kinase activity</p>

Daniela Raciti; Kimberly Van Auken; Valerio Arnaboldi; Christopher J. Tabone; Hans-Michael Muller; Paul W. Sternberg

doi:10.7490/f1000research.1120120.1

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Raciti D, Van Auken K, Arnaboldi V et al. Characterization and automated classification of sentences in the biomedical literature: a case study for biocuration of gene expression and protein kinase activity [version 1; not peer reviewed]. F1000Research 2025, 14:392 (slides) (https://doi.org/10.7490/f1000research.1120120.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Characterization and automated classification of sentences in the biomedical literature: a case study for biocuration of gene expression and protein kinase activity

Daniela Raciti, Kimberly Van Auken, Valerio Arnaboldi, Christopher J. Tabone, Hans-Michael Muller, Paul W. Sternberg¹

Published 03 Apr 2025 (https://doi.org/10.7490/f1000research.1120120.1)

Author Affiliations

¹ Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA

Copyright © 2025 Raciti D et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 03 Apr 2025

Characterization and automated classification of sentences in the biomedical literature: a case study for biocuration of gene expression and protein kinase activity
[version 1; not peer reviewed]

Daniela Raciti, Kimberly Van Auken, Valerio Arnaboldi, Christopher J. Tabone, Hans-Michael Muller, Paul W. Sternberg¹

Author Affiliations

¹ Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA

Presented at

18th Annual International Biocuration Conference 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

biocuration, biomedical text classification, sentence classification, GPT, LLMs, BERT

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