Natural Language Processing for Construction Management: A Literature Review
Publication: Construction Research Congress 2024
ABSTRACT
Automation in construction is essential to improve the efficiency of this sector. There have been many advancements in this field, and the use of natural language processing (NLP) has attracted increasing interest in recent years. This systematic literature review considers the contributions made in the past decade in the specific domain of implementation of NLP models in the commercial construction industry to help improve efficiency in project management. The review focuses on identifying relevant research efforts and their contributions, analyzing the NLP techniques used and results achieved, and determining the gaps and limitations based on the literature. Reviewed articles were selected from a total of 565 records retrieved from the Scopus, ASCE, and ProQuest databases. The articles were then filtered, classified, summarized, and analyzed. The review resulted in the identification of 19 most interesting articles in which the developed technologies have the potential of immediate applications in different project phases—from documentation and bidding, project closeout, to post-construction facility management. It was concluded that improving and automating the processes in these project phases with NLP resulted in increased project efficiency. Some gaps and limitations in the literature review were identified, and recommendations for future research were provided.
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Construction Research Congress 2024
Pages: 607 - 618
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Published online: Mar 18, 2024
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