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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:计算机科学与技术学院
学科:计算机应用技术
办公地点:创新园大厦B811
联系方式:0411-84706009-2811
电子邮箱:wangjian@dlut.edu.cn
Biomedical document triage using a hierarchical attention-based capsule network
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论文类型:期刊论文
发表时间:2021-01-10
发表刊物:BMC BIOINFORMATICS
卷号:21
期号:,SI
ISSN号:1471-2105
关键字:Biomedical document triage; Capsule network; Hierarchical attention mechanism; Biomedical literature
摘要:BackgroundBiomedical document triage is the foundation of biomedical information extraction, which is important to precision medicine. Recently, some neural networks-based methods have been proposed to classify biomedical documents automatically. In the biomedical domain, documents are often very long and often contain very complicated sentences. However, the current methods still find it difficult to capture important features across sentences.ResultsIn this paper, we propose a hierarchical attention-based capsule model for biomedical document triage. The proposed model effectively employs hierarchical attention mechanism and capsule networks to capture valuable features across sentences and construct a final latent feature representation for a document. We evaluated our model on three public corpora.ConclusionsExperimental results showed that both hierarchical attention mechanism and capsule networks are helpful in biomedical document triage task. Our method proved itself highly competitive or superior compared with other state-of-the-art methods.