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发布期刊链接：https://academic.oup.com/bioinformatics/article/32/22/3444/2525603

论文类型：期刊论文

发表时间：2016-11-15

发表刊物：Bioinformatics

收录刊物：SCI

所属单位：大连理工大学

刊物所在地：England

学科门类：工学

一级学科：生物医学工程

卷号：32

期号：22

页面范围：3444-3453

关键字：药物-药物关系抽取，卷积神经网络，深度学习

摘要：Motivation: Detecting drug-drug interaction (DDI) has become a vital part of public health safety. Therefore, using text mining techniques to extract DDIs from biomedical literature has received great attentions. However, this research is still at an early stage and its performance has much room to improve.
Results: In this article, we present a syntax convolutional neural network (SCNN) based DDI extraction method. In this method, a novel word embedding, syntax word embedding, is proposed to employ the syntactic information of a sentence. Then the position and part of speech features are intr