Parsing Clinical Text: How Good are the state-of-the-art Deep Learning Based Parsers?-Reference-Cited by-同舟云学术

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Parsing Clinical Text: How Good are the state-of-the-art Deep Learning Based Parsers?

Published:2018-06 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W)
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Author:

Zhang Yaoyun,Tiryaki Firat,Jiang Min,Xu Hua

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8411504/8411666/08411815.pdf?arnumber=8411815

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Different Methods of Scanners and Parsers;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16

2. Deep learning support for intelligent transportation systems;Transactions on Emerging Telecommunications Technologies;2020-11-09

3. Deep learning in clinical natural language processing: a methodical review;Journal of the American Medical Informatics Association;2019-12-03

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