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Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention |
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| Authors: | Liang Likeng Hao Tianyong Zhan Choujun Qiu Hong Wang Fu Lee Yan Jun Weng Heng Qu Yingying |
| Affiliation: | 1.School of Computer Science, South China Normal University, No. 55, Zhongshan Avenue West, Guangzhou, 510631, China ;2.School of Electrical and Computer Engineering, Nanfang College, No. 882 Wenquan Avenue, Guangzhou, 510970, China ;3.Information and Statistical Department, Shanghai Mental Health Center, 600 Wanping South Road, Shanghai, 200030, China ;4.School of Science and Technology, Hong Kong Metropolitan University, Homantin, Hong Kong, 999077, China ;5.AI Lab, Yidu Cloud (Beijing) Technology Co.Ltd, No. 35, Huayuan North Road, Haidian District, Beijing, 100191, China ;6.State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, No. 111, Dade Road, Guangzhou, 510120, China ;7.Business College, Guangdong University of Foreign Studies, No. 2, Baiyun Avenue North, Guangzhou, 510420, China ; |
| Abstract: | Neural Computing and Applications - Medical concept normalization aims to construct a semantic mapping between mentions and concepts and to uniformly represent mentions that belong to the same... |
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| 本文献已被 SpringerLink 等数据库收录！ | |