Abstract

This paper analyses the research and application of Natural Language Processing (NLP) technology in the management of construction projects, aiming at the problems such as the expansion of the scale of construction projects and the increasing number of document information, the difficulty and complexity of their management, the inefficiency and complexity of traditional manual collation and induction, the inability of technicians to fully, timely and efficiently consult, modify and improve document information, resulting in the degradation of project performance. Convert unstructured documents in the field of architecture into structured information to solve common problems in architecture.

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