2006. Constructing a decision tree classifier using lexical and syntactic features

Our systems (ndsc and ndsc+) use linguis-tic features as training data for a decision tree classifier. These features are derived from the text–hypothesis pairs under ex-amination. The classifier uses the features to decide if the the given hypothesis can be entailed from the text. This decision has an associated confidence value, which is a function of the confidences of the dif-ferent branches of the tree.