Textual Entailment Recognition Using Textual Features and SVM

The aim of this paper is to propose a system, which can automatically infer entailment relations of textual pairs. SVM 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 performance of this system is evaluated by dataset in CT-MC task held by RITE-2 of NTCIR. Macro-F1 of the proposed method is 46.35%.

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