Next, we conduct an oracle experiment in an attempt to understand how well these attributes, when used together, can explain the persuasiveness of an argument.
we train three linear SVM regressors (using the SVM light software (Joachims, 1999) with default learning parameters except for C (the regularization parameter), which is tuned on development data using grid search) to score an argument's persuasiveness using the gold attributes as features.