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Assoc."},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"Nov. 1997","journal-title":"Neural Comput."},{"key":"ref11","unstructured":"Z. Huang, W. Xu, and K. Yu, \u201cBidirectional LSTM-CRF models for sequence tagging,\u201d arXiv:1508.01991, 2015."},{"key":"ref12","first-page":"1520","article-title":"Chinese named entity recognition with character level BLSTM and soft attention model","volume":"29","author":"Yin","year":"2020","journal-title":"J. Beijing Instit. Technol."},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1520","DOI":"10.1109\/TASLP.2020.2994436","article-title":"Word-character graph convolution network for Chinese named entity recognition","volume":"28","author":"Tang","year":"2020","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"ref14","doi-asserted-by":"crossref","first-page":"120709","DOI":"10.1016\/j.eswa.2023.120709","article-title":"A dictionary-guided attention network for biomedical named entity recognition in Chinese electronic medical records","volume":"231","author":"Zhu","year":"Nov. 2023","journal-title":"Expert. Syst. Appl."},{"key":"ref15","first-page":"81","author":"Awad","year":"2015","journal-title":"Hidden Markov Model, in Efficient Learning Machines"},{"key":"ref16","series-title":"Int. Conf. Mach. Learn.","first-page":"282","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","author":"Lafferty","year":"2001"},{"key":"ref17","first-page":"1","article-title":"A hybrid model based on deep convolutional network for medical named entity recognition","volume":"2023","author":"Wang","year":"May 2023","journal-title":"J. Electr. Comput. Eng."},{"key":"ref18","series-title":"Proc. Annu. Meet. Assoc. Comput. 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Inform."},{"key":"ref22","first-page":"1","article-title":"Chinese clinical named entity recognition with ALBERT and MHA mechanism","volume":"2022","author":"Li","year":"May 2022","journal-title":"Evid. Based Complement. Alternat. Med."},{"key":"ref23","doi-asserted-by":"crossref","first-page":"103737","DOI":"10.1016\/j.jbi.2021.103737","article-title":"Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition","volume":"116","author":"Kong","year":"Apr. 2021","journal-title":"J. Biomed. Inform."},{"key":"ref24","doi-asserted-by":"crossref","first-page":"102282","DOI":"10.1016\/j.artmed.2022.102282","article-title":"Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF","volume":"127","author":"An","year":"May 2022","journal-title":"Artif. Intell. 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