NLP-Based Query-Answering System for Information Extraction from Building Information Models-Reference-Cited by-同舟云学术

NLP-Based Query-Answering System for Information Extraction from Building Information Models

Published:2022-05 Issue:3 Volume:36 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Wang Ning¹^ORCID,Issa Raja R. A.²^ORCID,Anumba Chimay J.³

Affiliation:

1. Ph.D. Candidate, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL 32611 (corresponding author). ORCID: .

2. Distinguished Professor, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL 32611. ORCID: .

3. Dean and Professor, College of Design, Construction, and Planning, Univ. of Florida, Gainesville, FL 32611.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0001019

Reference37 articles.

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3. buildingSMART. 2019. “Industry foundation classes (IFC).” Accessed June 10 2019. https://technical.buildingsmart.org/standards/ifc.

4. buildingSMART. 2020. “IFC specifications database.” Accessed October 10 2020. https://standards.buildingsmart.org/IFC/RELEASE/IFC4/ADD2_TC1/EXPRESS/IFC4.exp.

5. Celce-Murcia, M., D. Larsen-Freeman, and H. A. Williams. 1999. The grammar book: An ESL/EFL teacher’s course. Boston: Heinle & Heinle.

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