相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Natural language processing: state of the art, current trends and challenges
Diksha Khurana et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2023)
Correlation analysis and text classification of chemical accident cases based on word embedding
Sifeng Jing et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2022)
Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries
D. Sunitha et al.
PATTERN RECOGNITION LETTERS (2022)
A novel classification approach based on context connotative network (CCNet): A case of construction site accidents
Aryan Kumar Gupta et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
Natural Language Processing-Driven Model to Extract Contract Change Reasons and Altered Work Items for Advanced Retrieval of Change Orders
Taewoo Ko et al.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2021)
Roles of artificial intelligence in construction engineering and management: A critical review and future trends
Yue Pan et al.
AUTOMATION IN CONSTRUCTION (2021)
Discovery of new safety knowledge from mining large injury dataset in construction
Xiaoxiao Xu et al.
SAFETY SCIENCE (2021)
Construction safety knowledge sharing on Twitter: A social network analysis
Qi Yao et al.
SAFETY SCIENCE (2021)
Sequential deep learning from NTSB reports for aviation safety prognosis
Xiaoge Zhang et al.
SAFETY SCIENCE (2021)
Computer vision technologies for safety science and management in construction: A critical review and future research directions
Brian H. W. Guo et al.
SAFETY SCIENCE (2021)
On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach
Dan Tian et al.
ADVANCED ENGINEERING INFORMATICS (2021)
Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery
Biao Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)
Computer vision applications in construction safety assurance
Weili Fang et al.
AUTOMATION IN CONSTRUCTION (2020)
Deep learning and network analysis: Classifying and visualizing accident narratives in construction
Botao Zhong et al.
AUTOMATION IN CONSTRUCTION (2020)
Text mining-based construction site accident classification using hybrid supervised machine learning
Min-Yuan Cheng et al.
AUTOMATION IN CONSTRUCTION (2020)
Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads
X. J. Luo et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
Narrative texts-based anomaly detection using accident report documents: The case of chemical process safety
Bomi Song et al.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2019)
Construction site accident analysis using text mining and natural language processing techniques
Fan Zhang et al.
AUTOMATION IN CONSTRUCTION (2019)
Automated classification of building information modeling (BIM) case studies by BIM use based on natural language processing (NLP) and unsupervised learning
Namcheol Jung et al.
ADVANCED ENGINEERING INFORMATICS (2019)
Ontology for safety risk identification in metro construction
Xuejiao Xing et al.
COMPUTERS IN INDUSTRY (2019)
Evaluating machine learning performance in predicting injury severity in agribusiness industries
Fatemeh Davoudi Kakhki et al.
SAFETY SCIENCE (2019)
A tale of two epidemics: Contextual Word2Vec for classifying twitter streams during outbreaks
Aparup Khatua et al.
INFORMATION PROCESSING & MANAGEMENT (2019)
Putting into practice error management theory: Unlearning and learning to manage action errors in construction
Peter E. D. Love et al.
APPLIED ERGONOMICS (2018)
On the effects of using word2vec representations in neural networks for dialogue act recognition
Christophe Cerisara et al.
COMPUTER SPEECH AND LANGUAGE (2018)
A survey of work-related injuries among building construction workers in southwestern Ethiopia
Abate Lette et al.
INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS (2018)
From free-text to structured safety management: Introduction of a semi-automated classification method of railway hazard reports to elements on a bow-tie diagram
Peter Hughes et al.
SAFETY SCIENCE (2018)
Vehicle Consumer Complaint Reports Involving Severe Incidents: Mining Large Contingency Tables
Subasish Das et al.
TRANSPORTATION RESEARCH RECORD (2018)
Construction accident narrative classification: An evaluation of text mining techniques
Yang Miang Goh et al.
ACCIDENT ANALYSIS AND PREVENTION (2017)
Ontology-based automated information extraction from building energy conservation codes
Peng Zhou et al.
AUTOMATION IN CONSTRUCTION (2017)
Application of machine learning to construction injury prediction
Antoine J-P. Tixier et al.
AUTOMATION IN CONSTRUCTION (2016)
Natural language processing for aviation safety reports: From classification to interactive analysis
Ludovic Tanguy et al.
COMPUTERS IN INDUSTRY (2016)
Integrating Natural Language Processing and Spatial Reasoning for Utility Compliance Checking
Shuai Li et al.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2016)
Integrating Natural Language Processing and Spatial Reasoning for Utility Compliance Checking
Shuai Li et al.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2016)
Making the most of injury surveillance data: Using narrative text to identify exposure information in case-control studies
Janessa M. Graves et al.
INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED (2015)
Using ontology-based text classification to assist Job Hazard Analysis
Nai-Wen Chi et al.
ADVANCED ENGINEERING INFORMATICS (2014)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)