4.7 Article

Transfer learning-based query classification for intelligent building information spoken dialogue

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

NLP-Based Query-Answering System for Information Extraction from Building Information Models

Ning Wang et al.

Summary: The construction industry uses building information modeling (BIM) to support decision making in the AECO industry. This study developed a virtual assistant for construction project team members using natural language processing (NLP) methods and evaluated its accuracy using BIM/industry foundation classes (IFC) models.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2022)

Article Computer Science, Artificial Intelligence

Part-of-speech tagging of building codes empowered by deep learning and transformational rules

Xiaorui Xue et al.

Summary: The paper discusses the development of automated building code compliance checking systems and highlights the limitations of existing systems in converting regulatory rules. It proposes a deep learning-based POS tagger specifically tailored to building codes.

ADVANCED ENGINEERING INFORMATICS (2021)

Review Construction & Building Technology

Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing

Seonghyeon Moon et al.

Summary: The study proposed an automated specification review model using information extraction framework and named entity recognition model to automatically extract information from text data and successfully assign each word to an appropriate category. The model showed high precision and recall in testing data, contributing to the automation of construction specification review process.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2021)

Article Construction & Building Technology

BIMASR: Framework for Voice-Based BIM Information Retrieval

Sangyun Shin et al.

Summary: Voice is a convenient means for communication, and this study developed a BIMASR framework that allows for natural language input into BIM software using human voice. This framework transforms the BIM operating environment to be user-oriented, enhancing BIM interaction and use in dynamic environments.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2021)

Article Computer Science, Artificial Intelligence

A Survey on Data Collection for Machine Learning: A Big Data-AI Integration Perspective

Yuji Roh et al.

Summary: Data collection is a major bottleneck in machine learning due to the lack of labeled data in new applications and the feature generation process in deep learning requiring more labeled data. Research in data collection comes from machine learning, natural language, and computer vision communities, as well as data management due to the importance of handling large amounts of data. The integration of machine learning and data management opens many opportunities for new research in the context of Big Data and Artificial Intelligence (AI) integration.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2021)

Article Construction & Building Technology

Mapping textual descriptions to condition ratings to assist bridge inspection and condition assessment using hierarchical attention

Tianshu Li et al.

Summary: This study improves the consistency of bridge condition rating by using narrative descriptions from inspection reports, proposing a data-driven framework for two applications. By employing recurrent neural networks and an attention mechanism, a hierarchical architecture was developed to enhance the performance of condition recommendation.

AUTOMATION IN CONSTRUCTION (2021)

Article Construction & Building Technology

Dynamic Analysis on Public Concerns in Hong Kong-Zhuhai-Macao Bridge: Integrated Topic and Sentiment Modeling Approach

Jin Xue et al.

Summary: This study uses an integrated topic and sentiment modeling approach to analyze public concerns and sentiment trends in the Hong Kong-Zhuhai-Macao Bridge project, utilizing the TOT model and BERT-based sentiment model. Management strategies for different project phases are derived from the results obtained, demonstrating the effectiveness of the dynamic data-driven method in enhancing megaproject management.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2021)

Article Computer Science, Information Systems

Active Learning for Biomedical Text Classification Based on Automatically Generated Regular Expressions

Christopher A. Flores et al.

Summary: This article introduces an AL biomedical text classifier based on regular expressions, which efficiently reduces the number of training examples for equal performance compared to other classifiers.

IEEE ACCESS (2021)

Article Computer Science, Artificial Intelligence

Deep learning-based extraction of construction procedural constraints from construction regulations

Botao Zhong et al.

ADVANCED ENGINEERING INFORMATICS (2020)

Article Computer Science, Artificial Intelligence

Automated text classification of near-misses from safety reports: An improved deep learning approach

Weili Fang et al.

ADVANCED ENGINEERING INFORMATICS (2020)

Article Construction & Building Technology

Deep learning and network analysis: Classifying and visualizing accident narratives in construction

Botao Zhong et al.

AUTOMATION IN CONSTRUCTION (2020)

Article Computer Science, Artificial Intelligence

Hazard analysis: A deep learning and text mining framework for accident prevention

Botao Zhong et al.

ADVANCED ENGINEERING INFORMATICS (2020)

Article Computer Science, Artificial Intelligence

A building regulation question answering system: A deep learning methodology

Botao Zhong et al.

ADVANCED ENGINEERING INFORMATICS (2020)

Article Computer Science, Information Systems

Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification

Ning Jin et al.

IEEE ACCESS (2020)

Article Law

Automated Requirements Identification from Construction Contract Documents Using Natural Language Processing

Fahad Ul Hassan et al.

JOURNAL OF LEGAL AFFAIRS AND DISPUTE RESOLUTION IN ENGINEERING AND CONSTRUCTION (2020)

Article Acoustics

Out-of-Domain Detection for Natural Language Understanding in Dialog Systems

Yinhe Zheng et al.

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2020)

Article Computer Science, Artificial Intelligence

Convolutional neural network: Deep learning-based classification of building quality problems

Botao Zhong et al.

ADVANCED ENGINEERING INFORMATICS (2019)

Article Computer Science, Interdisciplinary Applications

Natural-language-based intelligent retrieval engine for BIM object database

Songfei Wu et al.

COMPUTERS IN INDUSTRY (2019)

Article Computer Science, Artificial Intelligence

An automatic literature knowledge graph and reasoning network modeling framework based on ontology and natural language processing

Hainan Chen et al.

ADVANCED ENGINEERING INFORMATICS (2019)

Article Computer Science, Interdisciplinary Applications

Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning

Hongjo Kim et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2018)

Article Construction & Building Technology

Ontology-based automated information extraction from building energy conservation codes

Peng Zhou et al.

AUTOMATION IN CONSTRUCTION (2017)

Article Computer Science, Interdisciplinary Applications

A Natural-Language-Based Approach to Intelligent Data Retrieval and Representation for Cloud BIM

Jia-Rui Lin et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2016)

Article Construction & Building Technology

Evaluating the strength of text classification categories for supporting construction field inspection

Nai-Wen Chi et al.

AUTOMATION IN CONSTRUCTION (2016)

Article Computer Science, Interdisciplinary Applications

Ontology-Based Multilabel Text Classification of Construction Regulatory Documents

Peng Zhou et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)

Article Computer Science, Interdisciplinary Applications

Semantic Text Classification for Supporting Automated Compliance Checking in Construction

Dareen M. Salama et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)

Article Computer Science, Interdisciplinary Applications

Domain-Specific Hierarchical Text Classification for Supporting Automated Environmental Compliance Checking

Peng Zhou et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)

Article Computer Science, Artificial Intelligence

Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning

Liu Yang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

Transfer Learning for Visual Categorization: A Survey

Ling Shao et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)