Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing-Reference-Cited by-同舟云学术

Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing

Published:2021-01 Issue:1 Volume:147 Page:04020147
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Moon Seonghyeon¹,Lee Gitaek²,Chi Seokho³,Oh Hyunchul⁴

Affiliation:

1. Postdoctoral Research Associate, Dept. of Civil and Environmental Engineering, Seoul National Univ., 1 Gwanak-Ro, Gwanak-Gu, Seoul 08826, Republic of Korea; Senior Researcher, Institute of Construction and Environmental Engineering, Seoul National Univ., 1 Gwanak-Ro, Gwanak-Gu, Seoul 08826, Republic of Korea.

2. Graduate Student, Dept. of Civil and Environmental Engineering, Seoul National Univ., 1 Gwanak-Ro, Gwanak-Gu, Seoul 08826, Republic of Korea.

3. Professor, Dept. of Civil and Environment Engineering, Seoul National Univ., 1 Gwanak-Ro, Gwanak-Ku, Seoul 08826, Republic of Korea; Adjunct Professor, Institute of Construction and Environmental Engineering, 1 Gwanak-Ro, Gwanak-Ku, Seoul 08826, Republic of Korea (corresponding author).

4. Senior Researcher, Smart Construction Team, Daewoo E&C, 20 Suil-Ro 123beon-Gil, Jangan-Gu, Suwon 16297, Republic of Korea.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001953

Reference36 articles.

1. Automatic Classification of Project Documents on the Basis of Text Content

2. A rule-based semantic approach for automated regulatory compliance in the construction sector

3. Automating hierarchical document classification for construction management information systems

4. Information management systems on construction projects: case reviews

5. Cucerzan S. and D. Yarowsky. 1999. “Language independent named entity recognition combining morphological and contextual evidence.” In Proc. 1999 Joint SIGDAT Conf. on Empirical Methods in Natural Language Processing and Very Large Corpora 90–99. Stroudsburg PA: Association for Computational Linguistics.

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