KC99: A Prediction System for Chinese Textual Entailment Relation Using Decision Tree.
Tao-Hsing Chang, Yao-Chi Hsu, Chung-Wei Chang, Yao-Chuan Hsu, Jen-I Chang · NTCIR · 2013
The aim of the current study is to propose a system, which can automatically deduce entailment relations of textual pairs. The system mainly uses seven features and a decision tree is utilized as a prediction model of the system and seven features of textual pairs are employed to be input of the prediction model. The experimental results for dataset Formal-run based on our proposed method are evaluated by NTCIR. In CT-BC task, Macro-F1 of the proposed method is 57.67%. In CT-MC task, Macro-F1 is 43.73%.