TY - JOUR
T1 - Transformer-based named entity recognition in construction supply chain risk management in Australia
AU - Shishehgarkhaneh, Milad Baghalzadeh
AU - Moehler, Robert C.
AU - Fang, Yihai
AU - Hijazi, Amer A.
AU - Aboutorab, Hamed
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2024/3/18
Y1 - 2024/3/18
N2 - In the Australian construction industry, effective supply chain risk management (SCRM) is critical due to its complex networks and susceptibility to various risks. This study explores the application of transformer models like BERT, RoBERTa, DistilBERT, ALBERT, and ELECTRA for Named Entity Recognition (NER) in this context. Utilizing these models, we analyzed news articles to identify and classify entities related to supply chain risks, providing insights into the vulnerabilities within this sector. Among the evaluated models, RoBERTa achieved the highest average F1 score of 0.8580, demonstrating its superior balance in precision and recall for NER in the Australian construction supply chain context. Our findings highlight the potential of NLP-driven solutions to revolutionize SCRM, particularly in geo-specific settings.
AB - In the Australian construction industry, effective supply chain risk management (SCRM) is critical due to its complex networks and susceptibility to various risks. This study explores the application of transformer models like BERT, RoBERTa, DistilBERT, ALBERT, and ELECTRA for Named Entity Recognition (NER) in this context. Utilizing these models, we analyzed news articles to identify and classify entities related to supply chain risks, providing insights into the vulnerabilities within this sector. Among the evaluated models, RoBERTa achieved the highest average F1 score of 0.8580, demonstrating its superior balance in precision and recall for NER in the Australian construction supply chain context. Our findings highlight the potential of NLP-driven solutions to revolutionize SCRM, particularly in geo-specific settings.
KW - BERT
KW - Construction supply chain risk management
KW - named entity recognition
KW - natural language processing
KW - transformers
UR - http://www.scopus.com/inward/record.url?scp=85188434662&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188434662&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2024.3377232
DO - 10.1109/ACCESS.2024.3377232
M3 - Article
AN - SCOPUS:85188434662
SN - 2169-3536
VL - 12
SP - 41829
EP - 41851
JO - IEEE Access
JF - IEEE Access
ER -