Although the macro-average F-scores of the classifiers described are too low to be used directly as discourse analyzers, the gain in F-score and accuracy for small labeled datasets are a promising perspective for improving classification accuracy for infrequent relation types.
the proposed method can be employed in existing discourse classifiers that work well on popular relations, and be expected to improve the overall accuracy.