Flexible, model-agnostic method for materials data extraction from text using general purpose language models
Maciej P. Polak, Shrey Modi, Anna Latosinska, Jinming Zhang, Ching-Wen Wang, Shaonan Wang, Ayan Deep Hazra, Dane Morgan
Abstract
This study presents an efficient language model-based method for high-precision data extraction from text, requiring minimal human effort.
Topics & Concepts
Computer scienceNatural language processingExtraction (chemistry)Data extractionArtificial intelligenceInformation retrievalProgramming languageMEDLINEChemistryChromatographyBiochemistryMachine Learning in Materials ScienceManufacturing Process and Optimization