Large Language Models for Machine-Readable Citation Data: Towards an Automated Metadata Curation Pipeline for Scholarly Journals
Northwestern University spent far too much time and effort curating citation data by hand. Here, we show that large language models can be an efficient way to convert plain-text citations to BibTeX for use in machine-actionable metadata. Further, we prove that these models can be run locally, withou...
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| Format: | Article |
| Language: | English |
| Published: |
Code4Lib
2025-04-01
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| Series: | Code4Lib Journal |
| Online Access: | https://journal.code4lib.org/articles/18368 |
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