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

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 …

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 …

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

Existing attempts to automate construction document analysis are limited in understanding
the varied semantic properties of different documents. Due to the semantic conflicts, the …

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 …

Many cross-knowledge domain tasks involving various professional backgrounds have
been transferred from construction sites to factories in modular construction (MC). In MC …

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 …

The data generation in the construction industry has increased dramatically. The major
portion of the data in the architecture, engineering and construction (AEC) domain are …

In recent years, there has been a surge in the global digitization of corporate processes and
concepts such as digital technology development which is growing at such a quick pace that …