Exploiting Dependency Information for Feature-Based Protein-Protein Interaction Extraction

被引：0
|
作者：
Liu, Bing [1 ]
Qian, Longhua [1 ]
Zhou, Guodong [1 ]
Zhu, Qiaoming [1 ]
机构：
[1] Soochow Univ, Sch Comp Sci & Technol, Suzhou, Peoples R China
来源：
PROCEEDINGS OF THE 2011 INTERNATIONAL CONFERENCE ON INFORMATICS, CYBERNETICS, AND COMPUTER ENGINEERING (ICCE2011), VOL 2: INFORMATION SYSTEMS AND COMPUTER ENGINEERING | 2011年 / 111卷
关键词：
Protein-Protein Interaction; SVM; Dependency information;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the combination of diverse lexical, syntactic and semantic information in feature-based protein-protein interaction extraction using SVM. Our study illustrates that dependency information as well as base phrase chunking information is very effective for feature-based PPI extraction while the full parse feature have less effect on the overall performance. Experimental evaluation on the AIMed corpus shows that our system achieves a promising performance of 54.7 in F-measure, surpassing other state-of-the-art feature-based ones.
引用
收藏
页码：267 / 272
页数：6
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