{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T12:14:56Z","timestamp":1783167296927,"version":"3.54.6"},"reference-count":44,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["202306260302"],"award-info":[{"award-number":["202306260302"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007538","name":"Civil Aviation Administration of China","doi-asserted-by":"publisher","award":["10522100000021 \\u202FJ003"],"award-info":[{"award-number":["10522100000021 \\u202FJ003"]}],"id":[{"id":"10.13039\/501100007538","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Advanced Engineering Informatics"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.aei.2026.104812","type":"journal-article","created":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T00:51:01Z","timestamp":1778892661000},"page":"104812","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PD","title":["Information extraction from airport construction schedules: A novel framework integrating semi-supervised joint extraction and entity normalization"],"prefix":"10.1016","volume":"74","author":[{"given":"Mingxiao","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangbin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongping","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jieru","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0547-9740","authenticated-orcid":false,"given":"Wensheng","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.aei.2026.104812_b0005","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1061\/(ASCE)CO.1943-7862.0000131","article-title":"Concept relation extraction from construction documents using natural language processing","volume":"136","author":"Al Qady","year":"2010","journal-title":"J. Constr. Eng. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2022.104530","article-title":"Transforming knowledge management in the construction industry through information and communications technology: a 15-year review","volume":"142","author":"Deng","year":"2022","journal-title":"Autom. Constr."},{"key":"10.1016\/j.aei.2026.104812_b0015","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/s11831-021-09576-9","article-title":"Knowledge extraction and discovery based on BIM: a critical review and future directions","volume":"29","author":"Hu","year":"2022","journal-title":"Arch. Comput. Meth. Eng."},{"key":"10.1016\/j.aei.2026.104812_b0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2022.104696","article-title":"Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements","volume":"147","author":"Wang","year":"2023","journal-title":"Autom. Constr."},{"key":"10.1016\/j.aei.2026.104812_b0025","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)CP.1943-5487.0001064","article-title":"Deep learning-based named entity recognition and resolution of referential ambiguities for enhanced information extraction from construction safety regulations","volume":"37","author":"Wang","year":"2023","journal-title":"J. Comput. Civ. Eng."},{"key":"10.1016\/j.aei.2026.104812_b0030","doi-asserted-by":"crossref","DOI":"10.1061\/JCEMD4.COENG-14436","article-title":"Information integration of regulation texts and tables for automated construction safety knowledge mapping","volume":"150","author":"Wang","year":"2024","journal-title":"J. Constr. Eng. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0035","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)CO.1943-7862.0002240","article-title":"Automatic information extraction from construction quality inspection regulations: a knowledge pattern-based ontological method","volume":"148","author":"Zhong","year":"2022","journal-title":"J. Constr. Eng. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2022.104543","article-title":"Named entity recognition of building construction defect information from text with linguistic noise","volume":"143","author":"Jeon","year":"2022","journal-title":"Autom. Constr."},{"key":"10.1016\/j.aei.2026.104812_b0045","article-title":"Automatic generation of BIM-based construction schedule: combining an ontology constraint rule and a genetic algorithm","author":"Wu","year":"2022","journal-title":"Eng. Constr. Archit. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0050","doi-asserted-by":"crossref","DOI":"10.1061\/JCEMD4.COENG-12687","article-title":"Graph-based automated construction scheduling without the use of BIM","volume":"149","author":"Hong","year":"2023","journal-title":"J. Constr. Eng. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2022.101645","article-title":"Improving the accuracy of schedule information communication between humans and data","volume":"53","author":"Hong","year":"2022","journal-title":"Adv. Eng. Inf."},{"key":"10.1016\/j.aei.2026.104812_b0060","series-title":"Proceedings of the 2019 European Conference on Computing in Construction","first-page":"190","article-title":"Automatic Understanding of Construction Schedules: Part-of-Activity Tagging","author":"Amer","year":"2019"},{"key":"10.1016\/j.aei.2026.104812_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2023.102194","article-title":"A contrastive learning framework for safety information extraction in construction","volume":"58","author":"Liu","year":"2023","journal-title":"Adv. Eng. Inf."},{"key":"10.1016\/j.aei.2026.104812_b0070","doi-asserted-by":"crossref","unstructured":"Q. Li, H. Ji, Incremental Joint Extraction of Entity Mentions and Relations, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014, pp. 402-412, https:\/\/doi.org\/10.3115\/v1\/p14-1038.","DOI":"10.3115\/v1\/P14-1038"},{"key":"10.1016\/j.aei.2026.104812_b0075","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.autcon.2017.02.003","article-title":"Ontology-based semi-supervised conditional random fields for automated information extraction from bridge inspection reports","volume":"81","author":"Liu","year":"2017","journal-title":"Autom. Constr."},{"key":"10.1016\/j.aei.2026.104812_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2022.104252","article-title":"An overview of biomedical entity linking throughout the years","volume":"137","author":"French","year":"2023","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/j.aei.2026.104812_b0085","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1007\/978-3-319-91638-5_7","article-title":"Unsupervised named entity normalization for supporting information fusion for big bridge data analytics","author":"Liu","year":"2018","journal-title":"Adv. Comput. Strategies Eng."},{"key":"10.1016\/j.aei.2026.104812_b0090","doi-asserted-by":"crossref","unstructured":"F. Amer, M. Golparvar-Fard, Formalizing construction sequencing knowledge and mining company-specific best practices from past project schedules, Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation, 2019, pp. 215-223, https:\/\/doi.org\/10.1061\/9780784482421.028.","DOI":"10.1061\/9780784482421.028"},{"key":"10.1016\/j.aei.2026.104812_b0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2025.106106","article-title":"Deep learning for named entity recognition in extracting critical information from struck-by accidents in construction","volume":"173","author":"Zhou","year":"2025","journal-title":"Autom. Constr."},{"key":"10.1016\/j.aei.2026.104812_b0100","article-title":"Entity recognition in the field of coal mine construction safety based on a pre-training language model","author":"Xu","year":"2023","journal-title":"Eng. Constr. Archit. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0105","article-title":"Extracting domain knowledge elements of construction safety management: rule-based approach using Chinese natural language processing","volume":"37","author":"Xu","year":"2021","journal-title":"J. Manage. Eng."},{"key":"10.1016\/j.aei.2026.104812_b0110","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)CO.1943-7862.0001953","article-title":"Automated construction specification review with named entity recognition using natural language processing","volume":"147","author":"Moon","year":"2021","journal-title":"J. Constr. Eng. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2021.101416","article-title":"Bridge inspection named entity recognition via BERT and lexicon augmented machine reading comprehension neural model","volume":"50","author":"Li","year":"2021","journal-title":"Adv. Eng. Inf."},{"key":"10.1016\/j.aei.2026.104812_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2021.101256","article-title":"A small samples training framework for deep Learning-based automatic information extraction: case study of construction accident news reports analysis","volume":"47","author":"Feng","year":"2021","journal-title":"Adv. Eng. Inf."},{"key":"10.1016\/j.aei.2026.104812_b0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2019.101003","article-title":"Deep learning-based extraction of construction procedural constraints from construction regulations","volume":"43","author":"Zhong","year":"2020","journal-title":"Adv. Eng. Inf."},{"key":"10.1016\/j.aei.2026.104812_b0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2023.104896","article-title":"Construction schedule augmentation with implicit dependency constraints and automated generation of lookahead plan revisions","volume":"152","author":"Amer","year":"2023","journal-title":"Autom. Constr."},{"key":"10.1016\/j.aei.2026.104812_b0135","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)CO.1943-7862.0002093","article-title":"Automated methods and systems for construction planning and scheduling: critical review of three decades of research","volume":"147","author":"Amer","year":"2021","journal-title":"J. Constr. Eng. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0140","doi-asserted-by":"crossref","unstructured":"X. Zhao, K.-W. Yeoh, D. K. H. Chua, Extracting Construction Knowledge from Project Schedules Using Natural Language Processing, The 10th International Conference on Engineering, Project, and Production Management, 2020, pp. 197-211, https:\/\/doi.org\/10.1007\/978-981-15-1910-9_17.","DOI":"10.1007\/978-981-15-1910-9_17"},{"key":"10.1016\/j.aei.2026.104812_b0145","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)CO.1943-7862.0002165","article-title":"Comparing natural language processing methods to cluster construction schedules","volume":"147","author":"Hong","year":"2021","journal-title":"J. Constr. Eng. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2021.104108","article-title":"Rule-based information extraction for mechanical-electrical-plumbing-specific semantic web","volume":"135","author":"Wu","year":"2022","journal-title":"Autom. Constr."},{"key":"10.1016\/j.aei.2026.104812_b0155","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)CO.1943-7862.0001625","article-title":"Accident case retrieval and analyses: using natural language processing in the construction industry","volume":"145","author":"Kim","year":"2019","journal-title":"J. Constr. Eng. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0160","series-title":"58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)","first-page":"1476","article-title":"A Novel Cascade Binary Tagging Framework for Relational Triple Extraction","author":"Wei","year":"2020"},{"key":"10.1016\/j.aei.2026.104812_b0165","series-title":"The 28th International Conference on Computational Linguistics","first-page":"1572","article-title":"TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking","author":"Wang","year":"2020"},{"key":"10.1016\/j.aei.2026.104812_b0170","series-title":"OneRel: Joint Entity and Relation Extraction with One Module in One Step","first-page":"11285","author":"Shang","year":"2022"},{"key":"10.1016\/j.aei.2026.104812_b0175","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2024.102713","article-title":"Revealing the coupled evolution process of construction risks in mega hydropower engineering through textual semantics","volume":"62","author":"Cao","year":"2024","journal-title":"Adv. Eng. Inf."},{"key":"10.1016\/j.aei.2026.104812_b0180","doi-asserted-by":"crossref","unstructured":"X. M. Hu, C. W. Zhang, F. K. Ma, C. Y. Liu, L. J. Wen, P. S. Yu, Semi-supervised Relation Extraction via Incremental Meta Self-Training, Findings of the Association for Computational Linguistics, EMNLP 2021, 2021, pp. 487-496, https:\/\/doi.org\/10.48550\/arXiv.2010.16410.","DOI":"10.18653\/v1\/2021.findings-emnlp.44"},{"key":"10.1016\/j.aei.2026.104812_b0185","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.126520","article-title":"AdaMetaSRE: an adaptive meta semi-supervised relation extraction model for aircraft fault maintenance","volume":"270","author":"Meng","year":"2025","journal-title":"Exp. Syst. Appl."},{"key":"10.1016\/j.aei.2026.104812_b0190","doi-asserted-by":"crossref","first-page":"768","DOI":"10.1061\/(ASCE)CO.1943-7862.0000646","article-title":"Domain ontology for construction knowledge","volume":"139","author":"El-Diraby","year":"2013","journal-title":"J. Constr. Eng. Manage."},{"key":"10.1016\/j.aei.2026.104812_b0195","doi-asserted-by":"crossref","first-page":"1120","DOI":"10.1016\/j.autcon.2011.04.014","article-title":"A domain ontology for construction concepts in urban infrastructure products","volume":"20","author":"El-Diraby","year":"2011","journal-title":"Autom. Constr."},{"key":"10.1016\/j.aei.2026.104812_b0200","series-title":"Standard for Construction Objects Classification and Coding of Civil Transport Airport (MH\/T 5070-2023)","author":"Civil Aviation Administration of China (CAAC)","year":"2023"},{"key":"10.1016\/j.aei.2026.104812_b0205","first-page":"4171","article-title":"Pre-training of Deep Bidirectional Transformers for Language Understanding, 2019 Conference of the North American Chapter of the Association for Computational Linguistics","author":"Devlin","year":"2019","journal-title":"Human Language Technologies"},{"key":"10.1016\/j.aei.2026.104812_b0210","first-page":"2999","article-title":"Focal loss for dense object detection","author":"Lin","year":"2017","journal-title":"Ieee I Conf Comp vis"},{"key":"10.1016\/j.aei.2026.104812_b0215","first-page":"269","article-title":"BERT-based ranking for biomedical entity normalization","author":"Ji","year":"2020","journal-title":"AMIA Summits on Translational Science Proceedings"},{"key":"10.1016\/j.aei.2026.104812_b0220","unstructured":"Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, V. Stoyanov, RoBERTa: A Robustly Optimized BERT Pretraining Approach, arXiv preprint arXiv:1907.11692, 2019, https:\/\/doi.org\/10.48550\/arXiv.1907.11692."}],"container-title":["Advanced Engineering Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1474034626005045?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1474034626005045?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T11:14:56Z","timestamp":1783163696000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1474034626005045"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":44,"alternative-id":["S1474034626005045"],"URL":"https:\/\/doi.org\/10.1016\/j.aei.2026.104812","relation":{},"ISSN":["1474-0346"],"issn-type":[{"value":"1474-0346","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Information extraction from airport construction schedules: A novel framework integrating semi-supervised joint extraction and entity normalization","name":"articletitle","label":"Article Title"},{"value":"Advanced Engineering Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aei.2026.104812","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104812"}}