Support Vector Machine with Ensemble Tree Kernel for Relation Extraction

Xiaoyong Liu, Hui Fu, Zhiguo Du
2016 Computational Intelligence and Neuroscience  
Relation extraction is one of the important research topics in the field of information extraction research. To solve the problem of semantic variation in traditional semisupervised relation extraction algorithm, this paper proposes a novel semisupervised relation extraction algorithm based on ensemble learning (LXRE). The new algorithm mainly uses two kinds of support vector machine classifiers based on tree kernel for integration and integrates the strategy of constrained extension seed set.
more » ... he new algorithm can weaken the inaccuracy of relation extraction, which is caused by the phenomenon of semantic variation. The numerical experimental research based on two benchmark data sets (PropBank and AIMed) shows that the LXRE algorithm proposed in the paper is superior to other two common relation extraction methods in four evaluation indexes (Precision, Recall,F-measure, and Accuracy). It indicates that the new algorithm has good relation extraction ability compared with others.
doi:10.1155/2016/8495754 pmid:27118966 pmcid:PMC4826950 fatcat:4t4ej2viojcvjm7yauta7kqqdi