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Natural language processing for construction engineering: Artificial intelligence-driven text analysis techniques

delete2026-01-08
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PRE
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Ahsan Waqar
DOI：10.1016/j.asoc.2026.114585delete
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Abstract

Abstract

En 中文
• AI-driven NLP enables scalable analysis of unstructured construction engineering texts. • Transformers, RLHF, and XAI advance reliability of NLP for safety and risk tasks. • Systematic review maps NLP methods, datasets, and applications from 2001–2025. • Identifies gaps in benchmarks, datasets, and deployment of LLMs in construction.

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

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No organization information available