Deep Learning-Based Relation Extraction from Construction Safety Regulations for Automated Field Compliance Checking

Xiyu Wang, Nora El-Gohary

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Information extraction provides an opportunity to automatically extract safety requirements from construction safety regulations to support automated safety compliance checking for detecting field non-compliances with these regulations. However, previous efforts on automating the safety compliance checking process fall short in their scalability and ability to automatically extract safety requirements, due to the complexity in unstructured text. Therefore, this paper proposes a deep learning-based information extraction method for extracting relations that link fall protection-related entities extracted from construction safety regulations for supporting automated field compliance checking. The proposed method uses an attention-based convolutional neural network model for recognizing and classifying relations. The proposed method was implemented and tested on two selected Occupational Safety and Health Administration (OSHA) sections related to fall protection. It has achieved a weighted precision, recall, and F-1 measure of 82.7%, 81.1%, and 81.3%, respectively, which indicates good relation extraction performance.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2022
Subtitle of host publicationComputer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
EditorsFarrokh Jazizadeh, Tripp Shealy, Michael J. Garvin
PublisherAmerican Society of Civil Engineers
Pages290-297
Number of pages8
ISBN (Electronic)9780784483961
DOIs
StatePublished - 2022
EventConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022 - Arlington, United States
Duration: Mar 9 2022Mar 12 2022

Publication series

NameConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
Volume2-B

Conference

ConferenceConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022
Country/TerritoryUnited States
CityArlington
Period3/9/223/12/22

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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