{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:13:24Z","timestamp":1770747204755,"version":"3.49.0"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute for Information and Communications Technology Promotion","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korea Government (MSIT) through the Development of Automatic Text Data Labeling and Verification Tools for Machine Learning","award":["2017-0-00550"],"award-info":[{"award-number":["2017-0-00550"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2981361","type":"journal-article","created":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T21:04:29Z","timestamp":1584479069000},"page":"59684-59693","source":"Crossref","is-referenced-by-count":13,"title":["Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7826-5226","authenticated-orcid":false,"given":"Juae","family":"Kim","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0241-9193","authenticated-orcid":false,"given":"Youngjoong","family":"Ko","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3670-7334","authenticated-orcid":false,"given":"Jungyun","family":"Seo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2811721"},{"key":"ref38","article-title":"Biomedical named entity recognition via reference-set augmented bootstrapping","author":"mathew","year":"2019","journal-title":"arXiv 1906 00282"},{"key":"ref33","article-title":"Semi-supervised named entity recognition: Learning to recognize 100 entity types with little supervision","author":"nadeau","year":"2007"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/978-94-017-2390-9_10","article-title":"Text chunking using transformation-based learning","author":"ramshaw","year":"1999","journal-title":"Proc Natural Lang Process Using Very Large Corpora"},{"key":"ref31","first-page":"1638","article-title":"Contextual string embeddings for sequence labeling","author":"akbik","year":"2018","journal-title":"Proc 27th Int Conf Comput Linguistics"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"ref37","article-title":"Semi-supervised bootstrapping approach for named entity recognition","author":"thenmalar","year":"2015","journal-title":"arXiv 1511 06833"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/11579427_78"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3115\/981658.981684"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2009.2015974"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1135"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2651942"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3115\/1699648.1699699"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.intmar.2010.02.009"},{"key":"ref13","first-page":"5427","article-title":"Bagging deep convolutional autoencoders trained with a mixture of real data and gan-generated data","volume":"13","author":"hu","year":"2019","journal-title":"KSII Trans Internet Inf Syst"},{"key":"ref14","author":"mooney","year":"1993","journal-title":"Bootstrapping A Nonparametric Approach to Statistical Inference"},{"key":"ref15","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1163"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2948404"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587637"},{"key":"ref19","first-page":"521","article-title":"Multilingual Sequence-to-Sequence speech recognition: Architecture, transfer learning, and language modeling","author":"cho","year":"2018","journal-title":"Proc IEEE Spoken Lang Technol Workshop (SLT)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1101"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119202"},{"key":"ref3","article-title":"SlugNERDS: A named entity recognition tool for open domain dialogue systems","author":"bowden","year":"2018","journal-title":"arXiv 1805 03784"},{"key":"ref6","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"arXiv 1810 04805"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1078"},{"key":"ref5","article-title":"Bidirectional LSTM-CRF models for sequence tagging","author":"huang","year":"2015","journal-title":"arXiv 1508 01991"},{"key":"ref8","article-title":"XLNet: Generalized autoregressive pretraining for language understanding","author":"yang","year":"2019","journal-title":"arXiv 1906 08237"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2014.2325029"},{"key":"ref2","first-page":"93","article-title":"Neural name translation improves neural machine translation","author":"li","year":"2018","journal-title":"Proc China Workshop Mach Transl"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/1596374.1596399"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICITACEE.2016.7892454"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.11"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","article-title":"A survey on transfer learning","volume":"22","author":"jialin pan","year":"2010","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119206"},{"key":"ref47","first-page":"106","article-title":"Evaluating and applying deep learning-based multilingual named entity recognition","volume":"42","author":"cheon","year":"2018","journal-title":"Journal of Korean Society for Marine Environmental Engineering"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"ref42","article-title":"Parameter-efficient transfer learning for NLP","author":"houlsby","year":"2019","journal-title":"arXiv 1902 00751"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015422"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2946594"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1030"},{"key":"ref44","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"ref43","article-title":"Introduction to the Conll-2003 shared task: Language-independent named entity recognition","author":"sang","year":"2003","journal-title":"Preprint arXiv cs\/0506083"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1561\/2200000013"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09039649.pdf?arnumber=9039649","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T19:04:47Z","timestamp":1643310287000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9039649\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2981361","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}