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Abdel Aziz, A M (2024) Statistical analysis and representation models of calendar-day liquidated damages. Journal of Construction Engineering and Management, 150(06).
Cao, N and Cheung, S O (2024) Voluntary mediation as a tenable resolution mechanism for construction disputes. Journal of Construction Engineering and Management, 150(06).
Cui, L Z, Liu, J, Luo, H, Wang, J, Zhang, X, Lv, G and Xie, Q (2024) Deformation measurement of tunnel shotcrete liner using the multiepoch lidar point clouds. Journal of Construction Engineering and Management, 150(06).
Han, Y, Soomro, M A, Li, Y, Garvin, M J and Xue, R (2024) Exploring farmers' willingness to engage in participatory irrigation infrastructure programs: Evidence from a water-stressed region. Journal of Construction Engineering and Management, 150(06).
Houng, S C, Pal, A and Lin, J J (2024) 4D BIM and reality model-driven camera placement optimization for construction monitoring. Journal of Construction Engineering and Management, 150(06).
Jin, Z, Gambatese, J A and Nnaji, C (2024) Musculoskeletal disorder risk assessment in modern ready-made concrete formwork construction. Journal of Construction Engineering and Management, 150(06).
Kim, J, Chung, S and Chi, S (2024) Cross-lingual information retrieval from multilingual construction documents using pretrained language models. Journal of Construction Engineering and Management, 150(06).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14273
- 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 information about construction in host countries. Due to the vast amounts of text data in the construction industry, an automated method, specifically information retrieval, is required to find the necessary information. Previous studies have suggested automated methods to review various construction documents. However, these studies required substantial manual effort and mainly focused on only one language, resulting in loss of vital information because it is buried in documents written in the host country's language. To address these limitations, this study proposes a cross-lingual information retrieval (CLIR) framework using pretrained Bidirectional Encoder Representations from Transformers (BERT) models to retrieve information from multilingual construction documents. The proposed framework employs language models (i.e., monolingual, multilingual, and cross-lingual) and trains these models on a construction data set to enhance their ability in construction-specific text. The framework achieved reliable performance of retrieval, even with minimal additional training using domain-specific data. The results indicate that training on the domain data set raises the level of retrieval, increasing the mean reciprocal rank of a specific task by up to 0.2128. With the employment of a monolingual model with machine translation, CLIR in a specific domain could be performed effectively without the need for a labeled data set. The suggested CLIR framework offers a practical alternative for dealing with construction documents in overseas projects, reducing time and cost while improving risk identification and mitigation.
Kim, S, Ghimire, P, Jeong, H D and Barutha, P (2024) Comparative analysis of project risks across construction sectors. Journal of Construction Engineering and Management, 150(06).
Liu, G, Ma, Z, Li, J, Li, S, Zhou, X and Song, Y (2024) Framework of digital lean construction and implementation of its management platform for the construction phase. Journal of Construction Engineering and Management, 150(06).
Liu, W, Zhang, J, Qu, C and Zhang, H (2024) Performance of priority rules for finance-based and resource-constrained project scheduling heuristics. Journal of Construction Engineering and Management, 150(06).
Masood, R, Roy, K, Gonzalez, V A and Lim, J B P (2024) Ameliorating supply chains of prefabricated housebuilding: An integrated performance framework. Journal of Construction Engineering and Management, 150(06).
Shen, J, Liu, S and Zhang, J (2024) Using text mining and Bayesian network to identify key risk factors for safety accidents in metro construction. Journal of Construction Engineering and Management, 150(06).
Shi, Q, Wang, Z and Zhu, J (2024) Developing collaborative driving mechanism of prefabricated buildings using multiagent stochastic evolutionary game. Journal of Construction Engineering and Management, 150(06).
Wang, W, Hao, S, Zhong, H and Sun, Z (2024) Toward sustainable construction: Optimizing carbon emission reduction in the building supply chain through game-theoretic strategies, government subsidies, and cost-sharing contract. Journal of Construction Engineering and Management, 150(06).
Wu, H, Zhang, P, Li, H, Zhong, B, Guo, S, Fung, I W H and Lee, Y Y (2024) Blockchain impact on construction quality management and its adoption analysis: A game theory-based method. Journal of Construction Engineering and Management, 150(06).
Yang, Z and Lu, W (2024) Lean modular integrated construction production phase planning under uncertainties: A big data-driven optimization approach. Journal of Construction Engineering and Management, 150(06).
Zeberga, M S, Haaskjold, H and Hussein, B (2024) Digital technologies for preventing, mitigating, and resolving contractual disagreements in the AEC industry: A systematic literature review. Journal of Construction Engineering and Management, 150(06).
Zhang, F, Liu, H, Chen, Z, Wang, L, Zhang, Q and Guo, L (2024) Collision risk warning model for construction vehicles based on YOLO and DeepSORT algorithms. Journal of Construction Engineering and Management, 150(06).