Data Sheet 1_Large language models can extract metadata for annotation of human neuroimaging publications.pdf

Data Sheet 1_Large language models can extract metadata for annotation of human neuroimaging publications.pdf

<p>We show that recent (mid-to-late 2024) commercial large language models (LLMs) are capable of good quality metadata extraction and annotation with very little work on the part of investigators for several exemplar real-world annotation tasks in the neuroimaging literature. We investigated t...

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Bibliographic Details
Main Author: Matthew D. Turner (1625002) (author)
Other Authors: Abhishek Appaji (15312223) (author), Nibras Ar Rakib (17050809) (author), Pedram Golnari (22090091) (author), Arcot K. Rajasekar (22090094) (author), Anitha Rathnam K V (22090097) (author), Satya S. Sahoo (6724976) (author), Yue Wang (65477) (author), Lei Wang (6656) (author), Jessica A. Turner (6702854) (author)
Published: 2025
Subjects:
Bioinformatics
large language models
metadata annotation
information extraction
human neuroimaging
ontologies
document annotation
text mining
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