Bridge Damage Recognition from Inspection Reports Using NER Based on Recurrent Neural Network with Active Learning-Reference-Cited by-同舟云学术

Bridge Damage Recognition from Inspection Reports Using NER Based on Recurrent Neural Network with Active Learning

Published:2020-12 Issue:6 Volume:34 Page:04020119
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Moon Seonghyeon¹^ORCID,Chung Sehwan²,Chi Seokho³

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. ORCID: .

2. Ph.D. Student, Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., 1318 G.G. Brown, Ann Arbor, MI 48109.

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

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001530

Reference38 articles.

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2. State-of-the-Art Review on the Causes and Mechanisms of Bridge Collapse

3. Reliability-Based Life-Cycle Management of Highway Bridges

4. Deep learning with word embeddings improves biomedical named entity recognition

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