Information | |
Drug Name Recognition: Approaches and Resources | |
Shengyu Liu1  Buzhou Tang1  Qingcai Chen1  Xiaolong Wang2  | |
[1] Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology Shenzhen Graduate School, 518055 Shenzhen, China; | |
关键词: drug name recognition; drug information extraction; biomedical texts; | |
DOI : 10.3390/info6040790 | |
来源: mdpi | |
【 摘 要 】
Drug name recognition (DNR), which seeks to recognize drug mentions in unstructured medical texts and classify them into pre-defined categories, is a fundamental task of medical information extraction, and is a key component of many medical relation extraction systems and applications. A large number of efforts have been devoted to DNR, and great progress has been made in DNR in the last several decades. We present here a comprehensive review of studies on DNR from various aspects such as the challenges of DNR, the existing approaches and resources for DNR, and possible directions.
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190002764ZK.pdf | 786KB | download |