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 …
Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …
deep learning (DL). However, the latter faces various issues, including the lack of data or …
Neural semantic tagging for natural language-based search in building information models: Implications for practice
While the adoption of open Building Information Modeling (open BIM) standards continues
to grow, the inherent complexity and multifaceted nature of the built asset lifecycle data …
to grow, the inherent complexity and multifaceted nature of the built asset lifecycle data …
A contrastive learning framework for safety information extraction in construction
J Liu, H Luo, W Fang, PED Love - Advanced Engineering Informatics, 2023 - Elsevier
Typically named entity recognition (NER) and relation extraction (RE) from safety
documentation (eg, accident reports) adopt a pipeline processing approach whereby tasks …
documentation (eg, accident reports) adopt a pipeline processing approach whereby tasks …
[HTML][HTML] Application of natural language processing in residential building defects analysis: Australian stakeholders' perceptions, causes and types
The issue of defects in residential buildings has been reported to impact the performance of
the architecture, engineering, and construction (AEC) industry. Defects can increase the …
the architecture, engineering, and construction (AEC) industry. Defects can increase the …
[PDF][PDF] Natural Language Processing (NLP) in the Extraction of Clinical Information from Electronic Health Records (EHRs) for Cancer Prognosis
Abstracts: NLP has become an important tool in healthcare, particularly in extracting clinical
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …
Automated identification of active players for international construction market entry using natural language processing
S Baek, SH Han, W Jung - Journal of Management in Engineering, 2023 - ascelibrary.org
Studies on the international construction market have been limited to expanding the scope
of academics and practices because of data accessibility and timeliness. With the recent …
of academics and practices because of data accessibility and timeliness. With the recent …
Dynamic building defect categorization through enhanced unsupervised text classification with domain-specific corpus embedding methods
Large amounts of data are often categorized using different systems. In such cases, few-shot
and unsupervised text classification are the two main approaches for dynamically classifying …
and unsupervised text classification are the two main approaches for dynamically classifying …
End-to-end framework for agricultural entity extraction–A hybrid model with transformer
Entity extraction is one prerequisite for various Natural Language Processing (NLP)
applications like relation extraction, question answering and knowledge graph construction …
applications like relation extraction, question answering and knowledge graph construction …
Automated hand-marked semantic text recognition from photographs
Automated text recognition techniques have made significant advancements; however,
certain tasks still present challenges. This study is motivated by the need to automatically …
certain tasks still present challenges. This study is motivated by the need to automatically …