Text mining and natural language processing in construction

A Shamshiri, KR Ryu, JY Park - Automation in Construction, 2024 - Elsevier
Text mining (TM) and natural language processing (NLP) have stirred interest within the
construction field, as they offer enhanced capabilities for managing and analyzing text …

Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements

X Wang, N El-Gohary - Automation in Construction, 2023 - Elsevier
Field compliance checking aims to check the compliance of site operations with applicable
construction safety regulations for detecting violations. Relation extraction provides an …

Rule capture of automated compliance checking of building requirements: a review

Z Zhang, L Ma, T Broyd - Proceedings of the Institution of Civil …, 2023 - icevirtuallibrary.com
In the architectural, engineering and construction industry, building design needs to be
checked against regulations before it can be finalised and progress to the construction …

Transformer-based approach for automated context-aware IFC-regulation semantic information alignment

R Zhang, N El-Gohary - Automation in Construction, 2023 - Elsevier
One of the main challenges of automated compliance checking systems is aligning the
semantics of the building information models (BIMs), in Industry Foundation Classes (IFC) …

Deep learning–based named entity recognition and resolution of referential ambiguities for enhanced information extraction from construction safety regulations

X Wang, N El-Gohary - Journal of Computing in Civil Engineering, 2023 - ascelibrary.org
Construction safety regulations and standards contain a massive number of fall protection
requirements with respect to different equipment, facilities, and operations. Automated field …

Natural language processing with multitask classification for semantic prediction of risk-handling actions in construction contracts

HTTL Pham, SU Han - Journal of computing in civil engineering, 2023 - ascelibrary.org
Construction projects are capital-intensive and risk-prone, which can lead to serious claims
and disputes. Thus, early identification and intervention of potential risks in contracts play …

Natural language generation and deep learning for intelligent building codes

R Zhang, N El-Gohary - Advanced Engineering Informatics, 2022 - Elsevier
Many existing automated compliance checking (ACC) systems require the processes of
extracting regulatory information from natural-language building-code requirements and …

Llm-funcmapper: Function identification for interpreting complex clauses in building codes via llm

Z Zheng, KY Chen, XY Cao, XZ Lu, JR Lin - arXiv preprint arXiv …, 2023 - arxiv.org
As a vital stage of automated rule checking (ARC), rule interpretation of regulatory texts
requires considerable effort. However, interpreting regulatory clauses with implicit properties …

Automatic Fine-Grained BIM element classification using Multi-Modal deep learning (MMDL)

H Liu, VJL Gan, JCP Cheng, SA Zhou - Advanced Engineering Informatics, 2024 - Elsevier
Abstract In Building Information Modeling (BIM)-based domain-specific applications,
elements should be classified into fine-grained sub-categories concerning their graphical …

Information Integration of Regulation Texts and Tables for Automated Construction Safety Knowledge Mapping

H Wang, S Xu, D Cui, H Xu, H Luo - Journal of Construction …, 2024 - ascelibrary.org
The explicit safety knowledge contained in regulations in the form of texts and tables is
crucial for construction safety management. However, the presence of rich semantic content …