... relationships in textual data and depend heavily on domain expertise, which may introduce omissions or distortions in textual interpretation (Shuang et al., 2024). Natural language processing Lightweight large language model Construction safety Text classification Data imbalance Ensemble...

...Sara Sadeghi; Mohammad Hoseinpour Jajarm Purpose This study presents a hybrid framework integrating natural language processing (NLP) with fuzzy logic to quantitatively assess the spatial and functional performance of architectural structures, addressing the limitations of conventional and expert...

... trend in employing data-driven approaches for PPP risk assessment. Traditional statistical models, ML algorithms (e.g. random forests and neural networks) and some initial applications of DL have been used. However, the use of advanced DL and natural language processing (NLP) techniques remains limited...

..., and transforming it into actionable knowledge representations are critical for improving information retrieval efficiency (Tian et al., 2021 ; Ismail et al., 2017). Over the past two decades, considerable efforts in the AEC field have focused on employing natural language processing (NLP...

.... Hence, it is necessary to improve the intelligence level for contract risk management. This study aims to propose a novel method for the intelligent identification of risks in construction contract clauses based on natural language processing. Design/methodology/approach This proposed method can...

... buildings, where project information is mainly qualitative. Design/methodology/approach Due to the qualitative nature of project information at the pre-conception stage, a natural language processing model, DistilBERT (Distilled Bidirectional Encoder Representations from Transformers), was trained...

... information modeling Knowledge graph Natural language processing Deep learning Automatic checking Knowledge Graph (KG) evolved from developments in the Semantic Web and expert systems, modeling information in the form of entities and their relationships. Essentially, it is a network that expresses...

... to propose an intelligent method to detect construction project contract missing clauses based on Natural Language Processing (NLP) and deep learning technology. Design/methodology/approach A complete classification scheme of contract clauses is designed based on NLP. First, construction contract texts...

...-learning approaches. Project management Construction specification Machine learning Natural language processing Text mining Table 1 Previous research related to the similar-case retrieval Research approach Researcher Rule-based correlation definition between terms...