A PDTB-Styled End-to-End Discourse Parser
Table 6: Results for the non-explicit classifier.
['[EMPTY]', 'Precision', 'Recall', '[ITALIC] F1', 'Baseline  [ITALIC] F1']
A single component evaluation (GS + no EP) shows a micro F1 of 39.63%. Although the F1 scores for the GS + EP and Auto + EP settings are unsatisfactory, they still significantly outperform the majority class baseline by about 6%. This performance is in line with the difficulties of classifying Implicit relations discussed in detail in our previous work