Automatic pathway information extraction from biomedical literature

被引：0
|
作者：
机构：
[1] College of Computer Science and Technology, Dalian University of Technology
[2] Ultrasound Department, The Third Affiliated Hospital of Harbin Medical University
来源：
Yang, Z. (yangzh@dlut.edu.cn) | 2013年 / Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States卷 / 09期
关键词：
Information extraction; Passage pathway information extraction; Syntactic analysis; Text minging;
D O I：
10.12733/jcis6388
中图分类号：
学科分类号：
摘要：
Automatically extracting protein pathway information from the vast amount of published literature helps us understand diseases and discover new drug targets. In this paper, we propose a syntactic rule-based method for extracting pathway relation information from Medline abstracts. This method takes into account comprehensive dependency types and negative connectives when extracting relations from syntactic analysis results. The benchmarking results demonstrate the effectiveness of our method. © 2013 by Binary Information Press.
引用
收藏
页码：4955 / 4964
页数：9
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