Comparing Natural Language Processing Methods to Cluster Construction Schedules-Reference-Cited by-同舟云学术

Comparing Natural Language Processing Methods to Cluster Construction Schedules

Published:2021-10 Issue:10 Volume:147 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Hong Ying¹,Xie Haiyan²,Bhumbra Gary³,Brilakis Ioannis⁴

Affiliation:

1. Research Associate, Dept. of Engineering, Univ. of Cambridge, Cambridge CB3 0FA, UK (corresponding author).

2. Professor, Dept. of Technology, Illinois State Univ., Normal, IL 61761.

3. Research Scientist, Dept. of Neuroscience, Physiology, and Pharmacology, Univ. College London, London WC1E 6BT, UK.

4. Laing O’Rourke Reader, Dept. of Engineering, Univ. of Cambridge, Cambridge CB3 0FA, UK.

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.1943-7862.0002165

Reference77 articles.

1. Amer F. and M. Golparvar-Fard. 2019. “Automatic understanding of construction schedules: Part-of-activity tagging.” In Proc. 2019 European Conf. on Computing in Construction 190–197. Chania Crete Greece: European Council on Computing in Construction.

2. OPTICS

3. Association for Project Management. 2017. “What is scheduling in project management?” Accessed August 1 2019. https://www.apm.org.uk/body-of-knowledge/delivery/schedule-management/.

4. Knowledge‐Based Prototype for Improving Scheduling Productivity

5. Probabilistic topic models;Blei D.;IEEE Signal Process Mag.,2010

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