{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:39:03Z","timestamp":1743143943619,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031262807"},{"type":"electronic","value":"9783031262814"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-26281-4_22","type":"book-chapter","created":{"date-parts":[[2023,2,11]],"date-time":"2023-02-11T06:47:02Z","timestamp":1676098022000},"page":"223-234","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Technology and Efficacy Extraction of Mechanical Patents Based on BiLSTM-CRF"],"prefix":"10.1007","author":[{"given":"Ruiyi","family":"Cui","sequence":"first","affiliation":[]},{"given":"Na","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Cheng","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,12]]},"reference":[{"issue":"07","key":"22_CR1","first-page":"23","volume":"55","author":"J Ma","year":"2019","unstructured":"Ma, J., Zhang, B., Zhang, S., Liu, S.: Named entity recognition of new energy vehicles based on active MCNN-SCRF. Comput. Eng. Appl. 55(07), 23\u201329 (2019)","journal-title":"Comput. Eng. Appl."},{"issue":"09","key":"22_CR2","first-page":"3118","volume":"23","author":"D Qu","year":"2021","unstructured":"Qu, D., Yang, T., Zhu, Y., Hu, K.: Research on entity extraction of four diagnosis information of BiGRU-CRF lung cancer medical case based on word. Mod. Tradit. Chin. Med. Materia Medica World Sci. Technol. 23(09), 3118\u20133125 (2021)","journal-title":"Mod. Tradit. Chin. Med. Materia Medica World Sci. Technol."},{"issue":"10","key":"22_CR3","first-page":"1","volume":"48","author":"Z Shi","year":"2022","unstructured":"Shi, Z., Ma, Y., Zhao, F., Ma, B.: Chinese entity recognition based on CNN head transformer encoder. Comput. Eng. 48(10), 1\u201310 (2022)","journal-title":"Comput. Eng."},{"key":"22_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/978-3-030-51310-8_3","volume-title":"Natural Language Processing and Information Systems","author":"F Saad","year":"2020","unstructured":"Saad, F., Aras, H., Hackl-Sommer, R.: Improving named entity recognition for biomedical and patent data using bi-LSTM deep neural network models. In: M\u00e9tais, E., Meziane, F., Horacek, H., Cimiano, P. (eds.) NLDB 2020. LNCS, vol. 12089, pp. 25\u201336. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-51310-8_3"},{"key":"22_CR5","unstructured":"Yu, H., Huang, H., Yu, Z., Tan, X., Lu, S.: Entity recognition of government official documents based on BiLSTM-CRF. Program. Skills Maint., 119\u2013121 (2022)"},{"issue":"11","key":"22_CR6","first-page":"15","volume":"38","author":"Y Yang","year":"2021","unstructured":"Yang, Y., Li, Y., Zhong, X., Xu, L.: Named entity recognition of TCM medical records based on BiLSTM-CRF. Inf. Tradit. Chin. Med. 38(11), 15\u201321 (2021)","journal-title":"Inf. Tradit. Chin. Med."},{"key":"22_CR7","first-page":"1","volume":"2021","author":"N Deng","year":"2021","unstructured":"Deng, N., Fu, H., Chen, X.: Named entity recognition of traditional Chinese medicine patents based on BiLSTM-CRF. Wirel. Commun. Mob. Comput. 2021, 1\u201312 (2021)","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"22_CR8","unstructured":"Lafferty, J., Mccallum, A., Pereira, F.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings of the 18th International Conference on Machine Learning, pp. 282\u2013289 (2001)"},{"issue":"8","key":"22_CR9","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"issue":"11","key":"22_CR10","first-page":"3","volume":"38","author":"P Yang","year":"2020","unstructured":"Yang, P., Xie, Z.: Research on entity identification in judicial field based on BiLSTM-CRF. Mod. Comput. 38(11), 3\u20138 (2020)","journal-title":"Mod. Comput."},{"issue":"02","key":"22_CR11","first-page":"8","volume":"29","author":"L Zhao","year":"2021","unstructured":"Zhao, L.: Research on a method of named entity recognition based on BiLSTM-CRF. Comput. Inf. Technol. 29(02), 8\u201311+19 (2021)","journal-title":"Comput. Inf. Technol."}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Internet, Data &amp; Web Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-26281-4_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,11]],"date-time":"2023-02-11T06:51:55Z","timestamp":1676098315000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-26281-4_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031262807","9783031262814"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-26281-4_22","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"12 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EIDWT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Emerging Internetworking, Data & Web Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Semarang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 February 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 February 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eidwt2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/eidwt\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}