15 citations · 15 across the 5 of their papers we have counts for
6 papers
Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction
Tianyang Huang, Alessio Lombardi, Ahmed Elnagar +7
Information Extraction (IE) from Architecture, Engineering, and Construction (AEC) drawings remains hindered by manual inefficiency, while Layout Detection, a vital 'middleware' or…
LLM-assisted Graph-RAG Information Extraction from IFC Data
Sima Iranmanesh, Hadeel Saadany, Edlira Vakaj
IFC data has become the general building information standard for collaborative work in the construction industry. However, IFC data can be very complicated because it allows for m…
Title block detection and information extraction for enhanced building drawings search
Alessio Lombardi, Li Duan, Ahmed Elnagar +3
The architecture, engineering, and construction (AEC) industry still heavily relies on information stored in drawings for building construction, maintenance, compliance and error c…
CODE-ACCORD: A Corpus of building regulatory data for rule generation towards automatic compliance checking
Hansi Hettiarachchi, Amna Dridi, Mohamed Medhat Gaber +11
Automatic Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector necessitates automating the interpretation of building regulations to achiev…
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo +13
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm. This inflection point marks a shift from explicit knowledge representation to a renew…
Utilisation of open intent recognition models for customer support intent detection
Rasheed Mohammad, Oliver Favell, Shariq Shah +2
Businesses have sought out new solutions to provide support and improve customer satisfaction as more products and services have become interconnected digitally. There is an inhere…