title: Drug name recognition in biomedical texts: a machine-learning-based method.
abstract: Currently, there is an urgent need to develop a technology for extracting drug information automatically from biomedical texts, and drug name recognition is an essential prerequisite for extracting drug information. This article presents a machine-learning-based approach to recognize drug names in biomedical texts. In this approach, a drug name dictionary is first constructed with the external resource of DrugBank and PubMed. Then a semi-supervised learning method, feature coupling generalization, is used to filter this dictionary. Finally, the dictionary look-up and the condition random field method are combined to recognize drug names. Experimental results show that our approach achieves an F-score of 92.54% on the test set of DDIExtraction2011.
authors.affiliation: College of Computer Science and Technology, Dalian University of Technology, Dalian, 116024 Liaoning, China.
authors.forename: Linna
authors.initials: L
authors.lastname: He
authors.affiliation: College of Computer Science and Technology, Dalian University of Technology, Dalian, 116024 Liaoning, China. Electronic address: yangzh@mail.dlut.edu.cn.
authors.forename: Zhihao
authors.initials: Z
authors.lastname: Yang
authors.affiliation: College of Computer Science and Technology, Dalian University of Technology, Dalian, 116024 Liaoning, China.
authors.forename: Hongfei
authors.initials: H
authors.lastname: Lin
authors.affiliation: College of Computer Science and Technology, Dalian University of Technology, Dalian, 116024 Liaoning, China.
authors.forename: Yanpeng
authors.initials: Y
authors.lastname: Li
mesh_terms: D001185:Artificial Intelligence; D035843:Biomedical Research / Q000379:methods; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D004364:Pharmaceutical Preparations / Q000145:classification*; D012014:Reference Books, Medical
chemical_list: D004364:Pharmaceutical Preparations