Librarian in the Loop
"Librarian in the Loop" research explores how human expertise can enhance automated systems for managing and discovering scientific information, particularly research data. Current efforts focus on using natural language processing (NLP) techniques, often incorporating iterative human feedback loops, to improve the identification of data citations and related information within academic literature, as well as developing robotic systems for physical library tasks. This approach aims to improve the efficiency and accuracy of data discovery and management, ultimately supporting more robust and reproducible scientific research.
Papers
June 20, 2024
January 10, 2024
October 18, 2022