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From text to insight: large language models for chemical data extraction

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2025Embargo end date: 25 Mar 2025 Germany, Spain English Publisher:Royal Society of Chemistry (RSC)Journal:Chemical Society Reviews, volume 54, pages 1,125-1,150 (issn: 0306-0012, eissn: 1460-4744, Copyright policy )Funded by:DFG | unidentified
Authors: Mara Schilling-Wilhelmi; Martiño Ríos-García; Sherjeel Shabih; María Victoria Gil; Santiago Miret; Christoph T. Koch; José A. Márquez; +1 Authors

doi: 10.1039/d4cs00913d , 10.18452/31679

pmid: 39703015

handle: 10261/381308

From text to insight: large language models for chemical data extraction

Abstract

Large language models (LLMs) allow for the extraction of structured data from unstructured sources, such as scientific papers, with unprecedented accuracy and performance.

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Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation, 540 Chemie und zugeordnete Wissenschaften, ddc:540, http://metadata.un.org/sdg/9, structured data ; systematic materials design ; large language models LLMs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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5
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Average
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22
35
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