%0 Journal Article
%A NIU Shao-zhang
%A TAN Yong-mei
%A WANG Min-da
%T Chinese Textual Entailment Recognition Via Ordered Word Mover Distance
%D 2017
%R 10.13190/j.jbupt.2016-221
%J Journal of Beijing University of Posts and Telecommunications
%P 123-128
%V 40
%N 5
%X Chinese textual entailment recognition method based on ordered word mover distance was proposed. The ordered word mover distance was computed based on word2vec. The ordered word mover distance feature, grammar feature, and semantic feature were used to generate classification module based support vector machine (SVM). With use of classification module, the entailment result was obtained. An experiment was conducted in the CS data of RITE-VAL evaluation task in 2014, the MacroF1 of the experiment is 0.629, outperforming optimal value (BUPTTeam,0.615), which illustrates the effectiveness of the method to lifting the performance of Chinese textual entailment.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2016-221