In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …

Despite the increasing use of natural language processing (NLP) in the construction
domain, no systematic comparison has been conducted between NLP applications in …

Unstructured texts dominate data in construction projects. With the achievements of natural
language processing (NLP) techniques, mining unstructured text data for smart construction …

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 …

Claims, disputes, and litigations are major legal issues in construction projects, which often
result in cost overruns, delays, and adverse working relationships among the contracting …

The European Union (EU) aims to increase the efficiency and productivity of the construction
industry. The EU suggests pairing Building Information Modeling with other digitalization …

The advancement of natural language processing and text mining techniques facilitate
automatic non-trivial pattern extraction and knowledge discovery from text data. However …

Complex industrial problems coupled with the availability of a more robust computing
infrastructure present many challenges and opportunities for machine learning (ML) in the …

If headway is to be made to improve safety performance in construction, then there is a need
to learn from past accidents. Accident reports provide a useful source of information to make …

The names of construction activities are the only unstructured data attribute in construction
schedules, and they often guide construction execution. Activity names are devised to …