From Arguments to Key Points: Towards AutomaticArgument Summarization
Table 4: Comparison of match scoring methods, using the Threshold selection policy. P, R and F1 refer to the positive class. Acc is the accuracy.
['[EMPTY]', 'Majority Class', 'Acc 0.793', 'P', 'R 0.000', 'F1']
Results are obtained by micro-averaging over the argument-key point pairs in each fold, and averaging over the different folds. We consider Precision, Recall and F1 of the positive class, as well as the overall accuracy. We also list for reference the majority class baseline that always predicts “no match”, and the random baseline, which randomly predicts the positive class according to its probability in the training data.