Evaluating hyper-parameter optimization techniques for SpanBERT-based named entity recognition in construction supply chain risk management
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Shishehgarkhaneh, Milad B, Moehler, Robert C, Fang, Yihai, Hijazi, Armar A, Chan, Melissa ORCID: https://orcid.org/0000-0003-1589-6850 and Aboutorab, Hamed
(2026)
Evaluating hyper-parameter optimization techniques for SpanBERT-based named entity recognition in construction supply chain risk management.
In:
Advanced Intelligence Methods for Data Science and Optimization.
Gandomi, A, Mirjalili, S and Kovacs, L, eds.
Morgan Kaufmann, United States, pp. 1-13.
Abstract
The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems.
| Item type | Book Section |
| URI | https://vuir.vu.edu.au/id/eprint/50419 |
| ISBN | 9780443289415 |
| Subjects | Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Download/View statistics | View download statistics for this item |
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