Current browse context:
cs.AI
Change to browse by:
References & Citations
Computer Science > Artificial Intelligence
Title: An Experiment with the Use of ChatGPT for LCSH Subject Assignment on Electronic Theses and Dissertations
(Submitted on 25 Mar 2024 (v1), last revised 3 Apr 2024 (this version, v2))
Abstract: This study delves into the potential use of Large Language Models (LLMs) for generating Library of Congress Subject Headings (LCSH). The authors employed ChatGPT to generate subject headings for electronic theses and dissertations (ETDs) based on their titles and summaries. The results revealed that although some generated subject headings were valid, there were issues regarding specificity and exhaustiveness. The study showcases that LLMs can serve as a strategic response to the backlog of items awaiting cataloging in academic libraries, while also offering a cost-effective approach for promptly generating LCSH. Nonetheless, human catalogers remain essential for verifying and enhancing the validity, exhaustiveness, and specificity of LCSH generated by LLMs.
Submission history
From: Eric H. C. Chow [view email][v1] Mon, 25 Mar 2024 05:04:52 GMT (193kb)
[v2] Wed, 3 Apr 2024 07:22:05 GMT (194kb)
Link back to: arXiv, form interface, contact.