Transformer and statistical models for LCSH assignment: a comparative study in digital libraries.
Purpose: This study aims to examine the effectiveness of machine learning models and ensemble approaches for automating Library of Congress Subject Headings (LCSH) assignment to graduate theses and dissertations, aiming to enhance the efficiency, scalability and accuracy of library subject indexing...
| Publicado en: | Electronic Library Vol. 43; no. 5; pp. 695 - 715 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Emerald Publishing Limited
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |