Comparing natural language processing (NLP) applications in construction and computer science using preferred reporting items for systematic reviews (PRISMA)
Despite the increasing use of natural language processing (NLP) in the construction
domain, no systematic comparison has been conducted between NLP applications in …
domain, no systematic comparison has been conducted between NLP applications in …
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 …
construction field, as they offer enhanced capabilities for managing and analyzing text …
Investigating the use of ChatGPT for the scheduling of construction projects
Generative Pre-Trained Transformer (GPT) language models such as ChatGPT have the
potential to revolutionize the construction industry by automating repetitive and time …
potential to revolutionize the construction industry by automating repetitive and time …
[HTML][HTML] Automated detection of contractual risk clauses from construction specifications using bidirectional encoder representations from transformers (BERT)
Detecting contractual risk information from construction specifications is crucial to
succeeding in construction projects. This paper describes clause classification using the …
succeeding in construction projects. This paper describes clause classification using the …
Pretrained domain-specific language model for natural language processing tasks in the AEC domain
As an essential task for the architecture, engineering, and construction (AEC) industry,
information processing and acquiring from unstructured textual data based on natural …
information processing and acquiring from unstructured textual data based on natural …
NLP techniques for automating responses to customer queries: a systematic review
PA Olujimi, A Ade-Ibijola - Discover Artificial Intelligence, 2023 - Springer
The demand for automated customer support approaches in customer-centric environments
has increased significantly in the past few years. Natural Language Processing (NLP) …
has increased significantly in the past few years. Natural Language Processing (NLP) …
Automated prioritization of construction project requirements using machine learning and fuzzy Failure Mode and Effects Analysis (FMEA)
Due to the emergence of risk-based verification practices, requirement prioritization has
gained importance as a task in project requirements management. However, it is …
gained importance as a task in project requirements management. However, it is …
Adopting BIM to facilitate dispute management in the construction industry: A conceptual framework development
Previous studies revealed that Building Information Modeling (BIM) has the potential to
reduce project uncertainties, design errors, change orders, and delays, which might facilitate …
reduce project uncertainties, design errors, change orders, and delays, which might facilitate …
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 …
and disputes. Thus, early identification and intervention of potential risks in contracts play …
Predictive risk modeling for major transportation projects using historical data
Most of the construction practices in the field of risk identification focus on the expertise,
views, and judgments of subject matter experts. While the conventional expert-based …
views, and judgments of subject matter experts. While the conventional expert-based …