We feed each potential entailment pair to SVM by concatenating the two vectors representing the antecedent and consequent expressions.
2 for efficiency and to mitigate data sparseness, we reduce the dimensionality of the semantic vectors to 300 columns using Singular Value Decomposition (SVD) before feeding them to the classifier.