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    Advancing Automated OSHA Compliance Analysis in Construction through Prompt Engineering for NLP-Based Insight Extraction

    Source: Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 004::page 04026015-1
    Author:
    Ray, Unmesa
    ,
    Park, JeeWoong
    ,
    Kim, Namgyun
    DOI: 10.1061/JMENEA.MEENG-7154
    Publisher: American Society of Civil Engineers
    Abstract: AbstractEnsuring safety compliance in construction remains a persistent challenge, with regulatory violations contributing to high injury and fatality rates. Although OSHA maintains extensive accident records, much of this data exists in unstructured ...
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      Advancing Automated OSHA Compliance Analysis in Construction through Prompt Engineering for NLP-Based Insight Extraction

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4312755
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    contributor authorRay, Unmesa
    contributor authorPark, JeeWoong
    contributor authorKim, Namgyun
    date accessioned2026-08-20T11:51:00Z
    date available2026-08-20T11:51:00Z
    date copyright2026/05/08
    date issued2026
    identifier otherJMENEA.MEENG-7154.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312755
    description abstractAbstractEnsuring safety compliance in construction remains a persistent challenge, with regulatory violations contributing to high injury and fatality rates. Although OSHA maintains extensive accident records, much of this data exists in unstructured ...
    publisherAmerican Society of Civil Engineers
    titleAdvancing Automated OSHA Compliance Analysis in Construction through Prompt Engineering for NLP-Based Insight Extraction
    typeJournal Article
    journal volume42
    journal issue4
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-7154
    journal fristpage04026015-1
    journal lastpage04026015-15
    page15
    treeJournal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 004
    contenttypeFulltext
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