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Cross-Lingual Information Retrieval from Multilingual Construction Documents Using Pretrained Language Models
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 ...
Bridge Damage Recognition from Inspection Reports Using NER Based on Recurrent Neural Network with Active Learning
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, ...