{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T21:03:26Z","timestamp":1777755806281,"version":"3.51.4"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031933189","type":"print"},{"value":"9783031933196","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-93319-6_33","type":"book-chapter","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T09:35:08Z","timestamp":1752140108000},"page":"439-452","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Named Entity Recognition for Building Information Model Verification Using Large Language Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0865-4134","authenticated-orcid":false,"given":"Insaf","family":"Nahri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5913-4714","authenticated-orcid":false,"given":"Romain","family":"Pinqui\u00e9","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4062-2432","authenticated-orcid":false,"given":"Philippe","family":"V\u00e9ron","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0768-7383","authenticated-orcid":false,"given":"Nicolas","family":"Bus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2108-0551","authenticated-orcid":false,"given":"Mathieu","family":"Thorel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,10]]},"reference":[{"issue":"3","key":"33_CR1","doi-asserted-by":"crossref","first-page":"74","DOI":"10.11648\/j.ajce.20160403.12","volume":"4","author":"L Doumbouya","year":"2016","unstructured":"Doumbouya, L., Gao, G., Guan, C.: Adoption of the Building Information Modeling (BIM) for construction project effectiveness: the review of BIM benefits. Am. J. Civil Eng. Arch. 4(3), 74\u201379 (2016)","journal-title":"Am. J. Civil Eng. Arch."},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Ahn, D.,Cha, H.: Integration of building maintenance data in application of Building Information Modeling (BIM). J. Build. Constr. Plan. Res. 2014 (2014)","DOI":"10.4236\/jbcpr.2014.22015"},{"issue":"1","key":"33_CR3","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.aei.2007.08.011","volume":"22","author":"L Soibelman","year":"2008","unstructured":"Soibelman, L., Wu, J., Caldas, C., Brilakis, I., Lin, K.Y.: Management and analysis of unstructured construction data types. Adv. Eng. Inf. 22(1), 15\u201327 (2008)","journal-title":"Adv. Eng. Inf."},{"key":"33_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.104108","volume":"135","author":"LT Wu","year":"2022","unstructured":"Wu, L.T., Lin, J.R., Leng, S., Li, J.L., Hu, Z.Z.: Rule-based information extraction for mechanical-electrical-plumbing-specific semantic web. Autom. Constr. 135, 104108 (2022)","journal-title":"Autom. Constr."},{"issue":"2","key":"33_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3605943","volume":"56","author":"B Min","year":"2023","unstructured":"Min, B., et al.: Recent advances in natural language processing via large pretrained language models: a survey. ACM Comput. Surv. 56(2), 1\u201340 (2023)","journal-title":"ACM Comput. Surv."},{"key":"33_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2023.102573","volume":"142","author":"E Zhu","year":"2023","unstructured":"Zhu, E., Sheng, Q., Yang, H., Liu, Y., Cai, T., Li, J.: A unified framework of medical information annotation and extraction for Chinese clinical text. Artif. Intell. Med. 142, 102573 (2023)","journal-title":"Artif. Intell. Med."},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Ahaggach, H., Abrouk, L., Lebon, E.: Information extraction and ontology population using car insurance reports. In International Conference on Information Technology-New Generations, pp. 405\u2013411. Springer, Cham (2023)","DOI":"10.1007\/978-3-031-28332-1_46"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Nguyen, D.Q., et al.: ChEMU: named entity recognition and event extraction of chemical reactions from patents. In Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, 14\u201317 April 2020, Proceedings, Part II 42, pp. 572\u2013579. Springer, Heidelberg (2020)","DOI":"10.1007\/978-3-030-45442-5_74"},{"issue":"1","key":"33_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1017\/S1351324914000114","volume":"22","author":"P Kluegl","year":"2016","unstructured":"Kluegl, P., Toepfer, M., Beck, P.D., Fette, G., Puppe, F.: UIMA Ruta: rapid development of rule-based information extraction applications. Nat. Lang. Eng. 22(1), 1\u201340 (2016)","journal-title":"Nat. Lang. Eng."},{"key":"33_CR10","unstructured":"Radford, A., Narasimhan, K., Salimans, T., Sutskever, I.: Improving language understanding by generative pre-training (2018)"},{"key":"33_CR11","first-page":"16","volume":"15","author":"JR Hobbs","year":"2010","unstructured":"Hobbs, J.R., Riloff, E.: Information Extraction. Handb. Nat. Lang. Process. 15, 16 (2010)","journal-title":"Handb. Nat. Lang. Process."},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Rahma, F., Romadhony, A.: Rule-based crime information extraction on Indonesian digital news. In: 2021 International Conference on Data Science and Its Applications (ICoDSA), pp. 10\u201315. IEEE (2021)","DOI":"10.1109\/ICoDSA53588.2021.9617509"},{"key":"33_CR13","unstructured":"Savova, G.K., Fan, J., Ye, Z., Murphy, S.P., Zheng, J., Chute, C.G., Kullo, I.J.: Discovering peripheral arterial disease cases from radiology notes using natural language processing. In AMIA Annual Symposium Proceedings, vol. 2010, p. 722. American Medical Informatics Association (2010)"},{"key":"33_CR14","doi-asserted-by":"publisher","first-page":"103835","DOI":"10.1016\/j.autcon.2021.103835","volume":"131","author":"T Akanbi","year":"2021","unstructured":"Akanbi, T., Zhang, J.: Design information extraction from construction specifications to support cost estimation. Autom. Constr. 131, 103835 (2021)","journal-title":"Autom. Constr."},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Morwal, S., Jahan, N., Chopra, D.: Named entity recognition using hidden Markov model (HMM). Int. J. Nat. Lang. Comput. (IJNLC) 1 (2012)","DOI":"10.5121\/ijnlc.2012.1402"},{"key":"33_CR16","doi-asserted-by":"publisher","first-page":"52286","DOI":"10.1109\/ACCESS.2018.2870203","volume":"6","author":"L Shi","year":"2018","unstructured":"Shi, L., Jianping, C., Jie, X.: Prospecting information extraction by text mining based on convolutional neural networks\u2013a case study of the Lala copper deposit, China. IEEE Access 6, 52286\u201352297 (2018)","journal-title":"IEEE Access"},{"key":"33_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2022.103733","volume":"142","author":"Z Zheng","year":"2022","unstructured":"Zheng, Z., Lu, X.Z., Chen, K.Y., Zhou, Y.C., Lin, J.R.: Pretrained domain-specific language model for natural language processing tasks in the AEC domain. Comput. Ind. 142, 103733 (2022)","journal-title":"Comput. Ind."},{"key":"33_CR18","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Sch\u00f6nfelder, P., K\u00f6nig, M.: Deep learning-based entity recognition in construction regulatory documents. In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, vol. 38, pp. 387\u2013394. IAARC Publications (2021)","DOI":"10.22260\/ISARC2021\/0054"},{"key":"33_CR20","unstructured":"Achiam, J., et al.: Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)"},{"key":"33_CR21","doi-asserted-by":"crossref","unstructured":"Min, S., Lewis, M., Zettlemoyer, L., Hajishirzi, H.: Metaicl: learning to learn in context. arXiv preprint arXiv:2110.15943 (2021)","DOI":"10.18653\/v1\/2022.naacl-main.201"},{"key":"33_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, J., et al.: 2iner: instructive and in-context learning on few-shot named entity recognition. In Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 3940\u20133951 (2023)","DOI":"10.18653\/v1\/2023.findings-emnlp.259"},{"key":"33_CR23","doi-asserted-by":"crossref","unstructured":"Saka, A., et al.: GPT models in construction industry: opportunities, limitations, and a use case validation. Dev. Built Environ., 100300 (2023)","DOI":"10.1016\/j.dibe.2023.100300"},{"key":"33_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104465","volume":"142","author":"S Moon","year":"2022","unstructured":"Moon, S., Chi, S., Im, S.B.: Automated detection of contractual risk clauses from construction specifications using bidirectional encoder representations from transformers (BERT). Autom. Constr. 142, 104465 (2022)","journal-title":"Autom. Constr."},{"issue":"4","key":"33_CR25","doi-asserted-by":"publisher","first-page":"1352","DOI":"10.3390\/app14041352","volume":"14","author":"M Smetana","year":"2024","unstructured":"Smetana, M., Salles de Salles, L., Sukharev, I., Khazanovich, L.: Highway Construction Safety Analysis Using Large Language Models. appl. Sci. 14(4), 1352 (2024)","journal-title":"appl. Sci."},{"key":"33_CR26","doi-asserted-by":"crossref","unstructured":"Naguib, M., Tannier, X., N\u00e9v\u00e9ol, A.: Few shot clinical entity recognition in three languages: masked language models outperform LLM prompting. arXiv preprint arXiv:2402.12801 (2024)","DOI":"10.18653\/v1\/2024.findings-emnlp.400"},{"key":"33_CR27","unstructured":"Jiang, A.Q., et al.: Mistral 7B. arXiv preprint arXiv:2310.06825 (2023)"},{"key":"33_CR28","doi-asserted-by":"crossref","unstructured":"Martin, L., et al.: CamemBERT: a tasty French language model. arXiv preprint arXiv:1911.03894 (2019)","DOI":"10.18653\/v1\/2020.acl-main.645"},{"key":"33_CR29","unstructured":"Nakayama, H., Kubo, T., Kamura, J., Taniguchi, Y., Liang, X.: doccano: Text Annotation Tool for Human (2018). https:\/\/github.com\/doccano\/doccano"},{"key":"33_CR30","unstructured":"plan bim 2022 - Le dictionnaire national de propri\u00e9t\u00e9s POBIM | Plan BIM 2022\u2019. Accessed 25 Nov 2022. https:\/\/plan-bim-2022.fr\/actions\/ptnb-axe-c-le-dictionnaire-national-de-proprietes-pobim\/le-dictionnaire-national-de-proprietes-pobim\/"},{"key":"33_CR31","unstructured":"Didier balaguer. Le CEN, pour une norme europ\u00e9enne en mati\u00e8re d\u2019interop\u00e9rabilit\u00e9\u2019, datBIM. Accessed 12 Sept 2023. https:\/\/www.datbim.com\/2017\/03\/14\/le-cen-pour-une-norme-europeenne-en-matiere-dinteroperabilite\/"},{"key":"33_CR32","unstructured":"Delcambre, B.: Mission num\u00e9rique b\u00e2timent. Rep\u00e9r\u00e9 sur le site du Minist\u00e8re du logement et de l\u2019\u00e9galit\u00e9 des territoires et de la ruralit\u00e9 (2014)"}],"container-title":["IFIP Advances in Information and Communication Technology","Product Lifecycle Management. Integrating Digital Technologies for Sustainability and Innovation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-93319-6_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T12:14:45Z","timestamp":1777464885000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-93319-6_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031933189","9783031933196"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-93319-6_33","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"10 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PLM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Product Lifecycle Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangkok","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"plm2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.plm-conference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}