Joint Extraction of Multiple Relations and Entities from Building Code Clauses

• Published in: Applied sciences Vol. 10; no. 20; p. 7103
• Main Authors: Li, Fulin, Song, Yuanbin, Shan, Yongwei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2020
• Subjects: Algorithms; Analysis; automated code compliance checking; Automation; building code; Building codes; Building law; Computational linguistics; Data mining; Deep learning; Engineering; Language; Language processing; Machine learning; Methods; Natural language; Natural language interfaces; Ontology; Regulation; regulation information extraction; Regulatory compliance; Roles; Semantic relations; Semantics; China

The extraction of regulatory information is a prerequisite for automated code compliance checking. Although a number of machine learning models have been explored for extracting computer-understandable engineering constraints from code clauses written in natural language, most are inadequate to addr...