Pro-Active Allocation of Project Requirements through Natural Language Processing (NLP) and Project Information System Integration-Reference-Cited by-同舟云学术

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Pro-Active Allocation of Project Requirements through Natural Language Processing (NLP) and Project Information System Integration

Published:2024-03-18 Issue: Volume:12 Page:1308-1316
ISSN:
Container-title:Construction Research Congress 2024
language:
Short-container-title:

Author:

Ko Taewoo¹²³,Shrestha Rabin¹²³,Lee JeeHee¹²³

Affiliation:

1. Assistant Professor, Dept. of Engineering and Technology, Texas A&M Univ.–Commerce.

2. Ph.D. Student, Dept. of Civil and Environmental Engineering and Construction, Univ. of Nevada, Las Vegas.

3. Assistant Professor, Dept. of Civil and Environmental Engineering and Construction, Univ. of Nevada, Las Vegas.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485262.133

Reference22 articles.

1. Transformer models for text-based emotion detection: a review of BERT-based approaches;Acheampong F. A.;Artificial Intelligence Review,2021

2. Problems and solutions of requirements management for construction projects under the traditional procurement systems;Ann T. W.;Facilities,2013

3. Automated requirements identification from construction contract documents using natural language processing;ul Hassan F.;Journal of Legal Affairs and Dispute Resolution in Engineering and Construction,2020

4. Hsieh H.-P. S.-D. Lin and Y. Zheng. 2015. “Inferring air quality for station location recommendation based on urban big data.” Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining 437–446.

5. Factors of Conflict in Construction Industry: A Literature Review

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