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Development of Potential Contractual Risk Detection Model for International Construction Contracts Using Natural Language Processing and Machine Learning Techniques

https://doi.org/10.2139/ssrn.4664602
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International Construction Contract Law
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Encyclopedia of Machine Learning
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Machine Learning Algorithms
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Causal Reasoning
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Application of a PSO-based neural network in analysis of outcomes of construction claims
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Hybrid ANN-CBR model for disputed change orders in construction projects
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Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports
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Application of machine learning to construction injury prediction
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Ontology-based automated information extraction from building energy conservation codes
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Automatically learning construction injury precursors from text
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AI-based prediction of independent construction safety outcomes from universal attributes
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Automated staff assignment for building maintenance using natural language processing
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Computer-assisted separation of design-build contract requirements to support subcontract drafting
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Claims Analysis and Computer Reasoning
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Impact of Various Construction Contract Clauses
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Construction Claims and Disputes: Causes and Cost/Time Overruns
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Predicting the Outcome of Construction Litigation Using an Integrated Artificial Intelligence Model
inferredcites →https://doi.org/10.1061/(asce)1052-3928(2007)133:3(199)openalex-extracted
Global Legal Issues for Engineers and Constructors
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0000131openalex-extracted
Concept Relation Extraction from Construction Documents Using Natural Language Processing
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0001736openalex-extracted
Machine Learning Algorithms for Construction Projects Delay Risk Prediction
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0002122openalex-extracted
Addressing Legal and Contractual Matters in Construction Using Natural Language Processing: A Critical Review
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0002275openalex-extracted
Automating Coordination Efforts for Reviewing Construction Contracts with Multilabel Text Classification
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000148openalex-extracted
Litigation Outcome Prediction of Differing Site Condition Disputes through Machine Learning Models
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Automated Compliance Checking of Construction Operation Plans Using a Deontology for the Construction Domain
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000301openalex-extracted
Semantic Text Classification for Supporting Automated Compliance Checking in Construction
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000346openalex-extracted
Semantic NLP-Based Information Extraction from Construction Regulatory Documents for Automated Compliance Checking
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000427openalex-extracted
Automated Information Transformation for Automated Regulatory Compliance Checking in Construction
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000536openalex-extracted
Extending Building Information Models Semiautomatically Using Semantic Natural Language Processing Techniques
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000807openalex-extracted
Development of Automatic-Extraction Model of Poisonous Clauses in International Construction Contracts Using Rule-Based NLP
inferredcites →https://doi.org/10.1061/(asce)la.1943-4170.0000032openalex-extracted
Investigation on Particular Contractual Issues in Construction
inferredcites →https://doi.org/10.1061/(asce)la.1943-4170.0000222openalex-extracted
Decisional Uncertainties in Construction Projects as a Cause of Disputes and Their Formal Legal Interpretation by the Courts: Review of Legal Cases in the United Kingdom
inferredcites →https://doi.org/10.1061/(asce)la.1943-4170.0000223openalex-extracted
Particular Conditions to Cover Potential Risks of Construction Projects
inferredcites →https://doi.org/10.1061/(asce)la.1943-4170.0000225openalex-extracted
Identifying and Mitigating the Risks Created by Problematic Clauses in Construction Contracts
inferredcites →https://doi.org/10.1061/(asce)la.1943-4170.0000379openalex-extracted
Automated Requirements Identification from Construction Contract Documents Using Natural Language Processing
inferredcites →https://doi.org/10.1061/(asce)me.1943-5479.0000757openalex-extracted
Effective Risk Positioning through Automated Identification of Missing Contract Conditions from the Contractor’s Perspective Based on FIDIC Contract Cases
inferredcites →https://doi.org/10.1061/(asce)me.1943-5479.0000959openalex-extracted
Automated Identification of Substantial Changes in Construction Projects of Airport Improvement Program: Machine Learning and Natural Language Processing Comparative Analysis
inferredcites →https://doi.org/10.1061/9780784413616.279openalex-extracted
Extending Building Information Models Semi-Automatically Using Semantic Natural Language Processing Techniques
inferredcites →https://doi.org/10.1061/jccee5.cpeng-5218openalex-extracted
Natural Language Processing with Multitask Classification for Semantic Prediction of Risk-Handling Actions in Construction Contracts
inferredcites →https://doi.org/10.1061/jcemd4.coeng-12528openalex-extracted
Automated Approach for Digitalizing Scope of Work Requirements to Support Contract Management
inferredcites →https://doi.org/10.1061/jcemd4.coeng-13523openalex-extracted
Convolutional Neural Network Algorithm–Based Novel Automatic Text Classification Framework for Construction Accident Reports
inferredcites →https://doi.org/10.1108/bepam-09-2018-0113openalex-extracted
Significant causes of claims and disputes in construction projects in Saudi Arabia
inferredcites →https://doi.org/10.1109/tkde.2005.66openalex-extracted
Toward integrating feature selection algorithms for classification and clustering
inferredcites →https://doi.org/10.1111/0885-9507.00087openalex-extracted
Predicting the Outcome of Construction Litigation Using Neural Networks
inferredcites →https://doi.org/10.1142/p894openalex-extracted
International Contracting
inferredcites →https://doi.org/10.1145/183422.183423openalex-extracted
Automated learning of decision rules for text categorization
inferredcites →https://doi.org/10.1186/s13634-021-00742-6openalex-extracted
Improved naive Bayes classification algorithm for traffic risk management
inferredcites →https://doi.org/10.2139/ssrn.3540954openalex-extracted
Natural Language Processing for Scam Detection. Classic and Alternative Analysis Techniques
inferredcites →https://doi.org/10.29007/4nk3openalex-extracted
A proposed framework for Construction 4.0 based on a review of literature
inferredcites →https://doi.org/10.3390/app7111141openalex-extracted
Predicting Project’s Uncertainty Risk in the Bidding Process by Integrating Unstructured Text Data and Structured Numerical Data Using Text Mining
inferredcites →https://doi.org/10.36680/j.itcon.2023.001openalex-extracted
Invariant Signature, Logic Reasoning, and Semantic Natural Language Processing (NLP)-Based Automated Building Code Compliance Checking (I-SNACC) Framework
inferredcites →https://doi.org/10.4324/9780429347795-6openalex-extracted
International Federation of Consulting Engineers
inferredcites →https://doi.org/10.4324/9781315730585openalex-extracted
Introduction to Construction Contract Management
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Machine learning applied to building information models
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Introduction to construction dispute resolution
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