[1]YANG Zhi-hao,HONG L i,L IN Hong-fei,et al.Extraction of information on prote in2prote in interaction from biomedical literatures using an SVM[J].CAAI Transactions on Intelligent Systems,2008,3(4):361-369.
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Extraction of information on prote in2prote in interaction from biomedical literatures using an SVM

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 3 Number of periods: 2008 4 Page number: 361-369 Column: 学术论文—机器学习 Public date: 2008-08-25
Title:
Extraction of information on prote in2prote in interaction from biomedical literatures using an SVM
Author(s):
YANG Zhi-hao1 ;  HONG L i2 ;  L IN Hong-fei1 ;  L I Yan-peng1
1. College of Electronic and Information Engineering, Dalian University of Technology, Dalian 116024, China;
2. Department ofMath2 ematics and Computer, Chaoyang Teachers College, Chaoyang 122000, China
Keywords:
interaction extraction;  link grammar;  support vectormachine ( SVM)
CLC:
TP391
DOI:
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Abstract:
Automated extraction of p rotein2p rotein interaction information from biomedical literature is helpful when building a p rotein knowledge network, p redicting p rotein functions and designing new drugs. This paper p resents a method for p rotein2p rotein interaction extraction from biomedical literature using a support vectormachine ( SVM). In thismethod, besides common index parameters such asword features, keyword features, entity distance features and link path features, a link grammar extraction feature is used to imp rove p recision when identifying p rotein2p ro2 tein interactions. Experimental results indicated that the recall rate and the F2score of thismethod are much higher than that of other extraction systems for the same dataset
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