Deep Learning–Based Named Entity Recognition and Resolution of Referential Ambiguities for Enhanced Information Extraction from Construction Safety Regulations-Reference-Cited by-同舟云学术

Deep Learning–Based Named Entity Recognition and Resolution of Referential Ambiguities for Enhanced Information Extraction from Construction Safety Regulations

Published:2023-09 Issue:5 Volume:37 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Wang Xiyu¹,El-Gohary Nora²

Affiliation:

1. Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 205 N. Mathews Ave., Urbana, IL 61801.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 205 N. Mathews Ave., Urbana, IL 61801 (corresponding author).

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.1943-5487.0001064

Reference60 articles.

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2. Inter-annotator Agreement

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4. Bikel D. M. S. Miller R. Schwartz and R. Weischedel. 1998. “Nymble: A high-performance learning name-finder.” Preprint submitted March 27 1998. http://arxiv.org/abs/9803003.

5. A proactive workers' safety risk evaluation framework based on position and posture data fusion

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