JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2009, Vol. 39 ›› Issue (3): 16-21.
• Articles •
Semi-supervised learning methods including self-training and co-training were shown in the task of PPI on how to alleviate the tag burden as much as possible. On self training a word feature based SVM model was applied; In co-training word feature and dependency tree based SVM models were used. Experiments on four copra showed that the two methods were effective in reducing the amount of labeling PPI(protein-protein interaction). Comparing self -training to-cotraining can be more effective by using two separated views.
CUI Bao-Jin, LIN Hong-Fei, ZHANG Xiao. Research of protein-protein interaction extraction based on semi-supervised learning[J].JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(3): 16-21.
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