%A LIU Xiaoyong %T A semi-supervised method based on tree kernel for relationship extraction %0 Journal Article %D 2015 %J Journal of Shandong University(Engineering Science) %R 10.6040/j.issn.1672-3961.1.2014.259 %P 22-26 %V 45 %N 2 %U {http://gxbwk.njournal.sdu.edu.cn/CN/abstract/article_1538.shtml} %8 2015-04-20 %X It was difficult for traditional semi-supervised relation extraction methods to solve "semantic variation" problem. A new semi-supervised relation extraction algorithm based on ensemble learning was prorosed and named L-EC-RE, which used two strategies, one was tree kernel and the other was constrained extension seed set. Experimental study on PopBank benchmark data sets showed that L-EC-RE had better performance than two usual relation extraction algorithms in four assessment criteria, which were Precision, Recall, F-measure and Accuracy.