SciDaSynth: Interactive Structured Data Extraction From Scientific Literature With Large Language Model

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Detalles Bibliográficos
Publicado en:	Campbell Systematic Reviews vol. 21, no. 4 (Dec 1, 2025)
Autor principal:	Wang, Xingbo
Otros Autores:	Huey, Samantha L., Sheng, Rui, Mehta, Saurabh, Wang, Fei
Publicado:	John Wiley & Sons, Inc.
Materias:	World Health Organization Accuracy Extraction Models Novels Nutrition Adaptation Data quality Documents COVID-19 Natural language Semantics Materials science Decision making Literary criticism Scientific knowledge Flexibility Medical research Researcher subject relations Data Language modeling Large language models Tables (Data) Prompting Researchers Meta Analysis Comprehension Information Needs Reference Materials Natural Language Processing Scientific Research Information Seeking Artificial Intelligence Evidence Based Practice Science Materials Language Processing Algorithms
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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