Semantic text-pairing for relevant provision identification in construction specification reviews-Reference-Cited by-同舟云学术

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Semantic text-pairing for relevant provision identification in construction specification reviews

Published:2021-08 Issue: Volume:128 Page:103780
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Moon Seonghyeon,Lee Gitaek,Chi Seokho

Funder

Korea Ministry of Land Infrastructure and Transport

Korea Agency for Infrastructure Technology Advancement

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference43 articles.

1. Automated construction specification review with named entity recognition using natural language processing;Moon;J. Constr. Eng. Manag.,2021

2. Deep learning-based extraction of construction procedural constraints from construction regulations;Zhong;Adv. Eng. Inform.,2020

3. Automated requirements identification from construction contract documents using natural language processing;Hassan;J. Leg. Aff. Disput. Resolut. Eng. Constr.,2020

4. Discussion on issues related to the explanation of contract for construction project;Ying,2012

5. Integrating semantic NLP and logic reasoning into a unified system for fully-automated code checking;Zhang;Autom. Constr.,2017

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4. Dynamic building defect categorization through enhanced unsupervised text classification with domain-specific corpus embedding methods;Automation in Construction;2024-01

5. Applications of Text Mining in the Transportation Infrastructure Sector: A Review;Information;2023-03-23

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