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Alkaissy, M, Arashpour, M, Zeynalian, M and Li, H (2022) Worksite Accident Impacts on Construction and Infrastructure: Nondeterministic Analysis of Subsectors and Organization Sizes. Journal of Construction Engineering and Management, 148(06).
Aroke, O, Hasanzadeh, S, Esmaeili, B, Dodd, M D and Brock, R (2022) Using Worker Characteristics, Personality, and Attentional Distribution to Predict Hazard Identification Performance: A Moderated Mediation Analysis. Journal of Construction Engineering and Management, 148(06).
Candaş, A B and Tokdemir, O B (2022) Automating Coordination Efforts for Reviewing Construction Contracts with Multilabel Text Classification. Journal of Construction Engineering and Management, 148(06).
- Type: Journal Article
- Keywords: Construction contracts; Contract administration; Machine learning; Metrics; Multilabel classification; Natural language processing (NLP);
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002275
- Abstract:
Construction projects involve multiple company departments and disciplines. The departments follow certain rules in implementing a project, also referred to as requirements in a construction contract. Current administration practices do not show which discipline or department is related to any requirement in the contracts. Thus, all departments need to review contract requirements but typically only from their perspective and with minimal communication with one another. In addition to the tendency of this manual process to error, time and money are lost in evaluating irrelevant departmental requirements. This study concentrates on one aspect of contract interpretation, coordination of the contract requirement review. Automating a classification of the contract requirements by relevant departments can increase the efficiency of contract reviews. This study proposes a robust approach to automating contract sentence classification by relevance to the company department. The approach comprises both natural language processing (NLP) and supervised machine learning techniques to train an algorithm. Training data are selected from an internationally and widely used standard form of construction contract. Precision metric results as high as 0.952 and recall metric results as high as 0.786 are acquired by support vector classifiers (SVCs). These are considered sufficient within the context of multilabel classification of construction contract sentences for construction professionals to operate without further training. The developed methodology reduces time spent on contract review, reliably and accurately predicts classification of contract sentences for departmental relevance, and also removes the dependence on expert participation in coordination efforts contract review.
Chen, G, Chen, J, Tang, Y, Li, Q and Luo, X (2022) Identifying Effective Collaborative Behaviors in Building Information Modeling–Enabled Construction Projects. Journal of Construction Engineering and Management, 148(06).
Dou, Y and Bo, Q (2022) Characteristics and Dynamics of BIM Adoption in China: Social Network Analysis. Journal of Construction Engineering and Management, 148(06).
Hussein, M, Darko, A, Eltoukhy, A E E and Zayed, T (2022) Sustainable Logistics Planning in Modular Integrated Construction Using Multimethod Simulation and Taguchi Approach. Journal of Construction Engineering and Management, 148(06).
Jiang, S, Ma, G, Jia, J, Wu, M and Wu, Z (2022) Mobile ICT Overuse in the Construction Industry: Effects on Job Burnout of Project Managers. Journal of Construction Engineering and Management, 148(06).
Liu, G, Huang, R, Li, K, Shrestha, A and Fu, X (2022) Greenhouse Gas Emissions Management in Prefabrication and Modular Construction Based on Earned Value Management. Journal of Construction Engineering and Management, 148(06).
Liu, K and El-Gohary, N (2022) Bridge Deterioration Knowledge Ontology for Supporting Bridge Document Analytics. Journal of Construction Engineering and Management, 148(06).
Liu, T, Chong, H, Zhang, W, Lee, C and Tang, X (2022) Effects of Contractual and Relational Governances on BIM Collaboration and Implementation for Project Performance Improvement. Journal of Construction Engineering and Management, 148(06).
Lv, L, Wang, Z, Li, H, Zhang, C and Qiao, R (2022) Tournament Incentive Mechanisms Design for Long-Distance Water Diversion Projects Incorporating Preference Heterogeneity. Journal of Construction Engineering and Management, 148(06).
Shen, K, Li, X, Cao, X and Zhang, Z (2022) Prefabricated Construction Process Optimization Based on Rework Risk. Journal of Construction Engineering and Management, 148(06).
Wang, S, Ni, Z, Qu, T, Wang, H and Pan, Q (2022) A Novel Index to Evaluate the Workability of Conditioned Coarse-Grained Soil for EPB Shield Tunnelling. Journal of Construction Engineering and Management, 148(06).
Yang, Y, Pan, M and Pan, W (2022) Integrated Offsite Logistics Scheduling Approach for High-Rise Modular Building Projects. Journal of Construction Engineering and Management, 148(06).
Zhan, W, Pan, W and Hao, G (2022) Productivity Measurement and Improvement for Public Construction Projects. Journal of Construction Engineering and Management, 148(06).
Zhong, S and Elzarka, H (2022) A Hybrid Grey System Theory–Based Subcontractor Selection Model for High-Stakes Construction Projects. Journal of Construction Engineering and Management, 148(06).