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    Cross-Lingual Information Retrieval from Multilingual Construction Documents Using Pretrained Language Models 

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 006:;page 04024041-1
    Author(s): Jungyeon Kim; Sehwan Chung; Seokho Chi
    Publisher: ASCE
    Abstract: The growth of the global construction market has attracted international companies to participate in overseas projects. Overseas projects are extremely dynamic with numerous uncertainties, raising the need to collect ...
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    Bridge Damage Recognition from Inspection Reports Using NER Based on Recurrent Neural Network with Active Learning 

    Source: Journal of Performance of Constructed Facilities:;2020:;Volume ( 034 ):;issue: 006
    Author(s): Seonghyeon Moon; Sehwan Chung; Seokho Chi
    Publisher: ASCE
    Abstract: A deep understanding of the cause-effect relationship of bridge damages provides an opportunity to design, construct, and maintain bridge structures more effectively. The damage factors (i.e., bridge element, damage, ...
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