While SVM-CW is simple, we show that SVM-CW can improve the performance of the system more effectively and more efficiently than other methods proven to be successful in other NLP tasks earlier.
sVM-CW with our feature vector is comprised of a PPI system with five different models, of which each model is superior to the best model in the original PPI extraction task, which used only the single corpus.