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A survey on recent advances in named entity recognition
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 …
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
The rising demand for automated methods in the Construction Management Systems (CMS)
sector highlights opportunities for the Transformer architecture, which enables pre-training …
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 …
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)
Detecting contractual risk information from construction specifications is crucial to
succeeding in construction projects. This paper describes clause classification using the …
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
As an essential task for the architecture, engineering, and construction (AEC) industry,
information processing and acquiring from unstructured textual data based on natural …
information processing and acquiring from unstructured textual data based on natural …
Correcting spelling mistakes in Persian texts with rules and deep learning methods
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 …
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
Ageing buildings have become a significant concern for many cities, exacerbated by
inadequate management and maintenance of Mechanical, Electrical, and Plumbing (MEP) …
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 …
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
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 …
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 …
in the whole-process engineering consulting, related studies like NLP technologies still …