An Experiment with the Use of ChatGPT for LCSH Subject Assignment on Electronic Theses and Dissertations
<|reference_start|>An Experiment with the Use of ChatGPT for LCSH Subject Assignment on Electronic Theses and Dissertations: 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 abstracts. The results suggests that LLMs such as ChatGPT have the potential to reduce cataloging time needed for assigning LCSH subject terms for ETDs as well as to improve the discovery of this type of resource in academic libraries. Nonetheless, human catalogers remain essential for verifying and enhancing the validity, exhaustivity, and specificity of LCSH generated by LLMs.<|reference_end|>
@article{chow2024an,
    title={An Experiment with the Use of ChatGPT for LCSH Subject Assignment on
  Electronic Theses and Dissertations},
    author={Eric H. C. Chow, TJ Kao and Xiaoli Li},
    journal={arXiv preprint arXiv:2403.16424},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.16424},
    primaryClass={cs.AI cs.DL cs.IR}
}