A survey on recent advances in named entity recognition

I Keraghel, S Morbieu, M Nadif - arxiv preprint arxiv:2401.10825, 2024 - arxiv.org
Named Entity Recognition seeks to extract substrings within a text that name real-world
objects and to determine their type (for example, whether they refer to persons or …

[HTML][HTML] Domain-specific language models pre-trained on construction management systems corpora

Y Zhong, SD Goodfellow - Automation in Construction, 2024 - Elsevier
The rising demand for automated methods in the Construction Management Systems (CMS)
sector highlights opportunities for the Transformer architecture, which enables pre-training …

Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements

X Wang, N El-Gohary - Automation in Construction, 2023 - Elsevier
Field compliance checking aims to check the compliance of site operations with applicable
construction safety regulations for detecting violations. Relation extraction provides an …

[HTML][HTML] Automated detection of contractual risk clauses from construction specifications using bidirectional encoder representations from transformers (BERT)

S Moon, S Chi, SB Im - Automation in Construction, 2022 - Elsevier
Detecting contractual risk information from construction specifications is crucial to
succeeding in construction projects. This paper describes clause classification using the …

Pretrained domain-specific language model for natural language processing tasks in the AEC domain

Z Zheng, XZ Lu, KY Chen, YC Zhou, JR Lin - Computers in Industry, 2022 - Elsevier
As an essential task for the architecture, engineering, and construction (AEC) industry,
information processing and acquiring from unstructured textual data based on natural …

Correcting spelling mistakes in Persian texts with rules and deep learning methods

S Kasmaiee, S Kasmaiee, M Homayounpour - Scientific reports, 2023 - nature.com
This study aims to develop a system for automatically correcting spelling errors in Persian
texts using two approaches: one that relies on rules and a common spelling mistake list and …

Recovering building information model from 2D drawings for mechanical, electrical and plumbing systems of ageing buildings

Z Pan, Y Yu, F **ao, J Zhang - Automation in Construction, 2023 - Elsevier
Ageing buildings have become a significant concern for many cities, exacerbated by
inadequate management and maintenance of Mechanical, Electrical, and Plumbing (MEP) …

A rationale-augmented NLP framework to identify unilateral contractual change risk for construction projects

B Shuai - Computers in industry, 2023 - Elsevier
Construction projects often see owners who exert their dominance by modifying the
standard contracts without contractors' prior consent. This can lead to undesirable outcomes …

A deep natural language processing‐based method for ontology learning of project‐specific properties from building information models

M Yin, L Tang, C Webster, X Yi… - Computer‐Aided Civil …, 2024 - Wiley Online Library
Element property is a crucial aspect of building information modeling (BIM) for almost all BIM‐
based engineering tasks. Since there are limited properties predefined in Industry …

Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts

B Gao, Y Hu, J Gu, X Han - Automation in Construction, 2024 - Elsevier
While traditional manual knowledge management methods indicate the intelligent approach
in the whole-process engineering consulting, related studies like NLP technologies still …