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    Addressing Documentation Issues in Construction Claims Using Natural Language Processing

    Source: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2025:;Volume ( 017 ):;issue: 004::page 04525047-1
    Author:
    Ranjan, Rajiv
    ,
    Jagannathan, Murali
    ,
    Chandran, P. Ravi
    ,
    Doloi, Hemanta
    DOI: 10.1061/JLADAH.LADR-1348
    Publisher: American Society of Civil Engineers
    Abstract: AbstractClaims are an integral part of the construction industry, vital in maintaining project timelines, cash flow, and stakeholder relationships. However, inefficient claim correspondence has become a significant challenge, often hindered by repetitive ...
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      Addressing Documentation Issues in Construction Claims Using Natural Language Processing

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311888
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    contributor authorRanjan, Rajiv
    contributor authorJagannathan, Murali
    contributor authorChandran, P. Ravi
    contributor authorDoloi, Hemanta
    date accessioned2026-08-20T11:14:03Z
    date available2026-08-20T11:14:03Z
    date copyright2025/06/20
    date issued2025
    identifier otherJLADAH.LADR-1348.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311888
    description abstractAbstractClaims are an integral part of the construction industry, vital in maintaining project timelines, cash flow, and stakeholder relationships. However, inefficient claim correspondence has become a significant challenge, often hindered by repetitive ...
    publisherAmerican Society of Civil Engineers
    titleAddressing Documentation Issues in Construction Claims Using Natural Language Processing
    typeJournal Article
    journal volume17
    journal issue4
    journal titleJournal of Legal Affairs and Dispute Resolution in Engineering and Construction
    identifier doi10.1061/JLADAH.LADR-1348
    journal fristpage04525047-1
    journal lastpage04525047-16
    page16
    treeJournal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2025:;Volume ( 017 ):;issue: 004
    contenttypeFulltext
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