Extraction of information on protein-protein interaction from biomedical literatures using an SVM

Automated extraction of protein-protein interaction information from biomedical literature is helpful when building a protein knowledge network,predicting protein functions and designing new drugs.This paper presents a method for protein-protein interaction extraction from biomedical literature using a support vector machine(SVM).In this method,besides common index parameters such as word features,keyword features,entity distance features and link path features,a link grammar extraction feature is used to improve precision when identifying protein-protein interactions.Experimental results indicated that the recall rate and the F-score of this method are much higher than that of other extraction systems for the same dataset.