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Drug Name Recognition: Approaches and Resources

Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology Shenzhen Graduate School, 518055 Shenzhen, China
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Willy Susilo
Information 2015, 6(4), 790-810;
Received: 15 October 2015 / Revised: 13 November 2015 / Accepted: 19 November 2015 / Published: 25 November 2015
(This article belongs to the Section Information Theory and Methodology)
PDF [787 KB, uploaded 25 November 2015]


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. View Full-Text
Keywords: drug name recognition; drug information extraction; biomedical texts drug name recognition; drug information extraction; biomedical texts

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Liu, S.; Tang, B.; Chen, Q.; Wang, X. Drug Name Recognition: Approaches and Resources. Information 2015, 6, 790-810.

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