A PDTB-Styled End-to-End Discourse Parser
Table 7: Results for the attribution span labeler.
['Partial', 'GS + no EP', 'Precision 79.40', 'Recall 79.96', '[ITALIC] F1 79.68']
The final component, the attribution span labeler, is evaluated under both partial and exact match, in accordance with the argument extractor. When error propagation is introduced, the degradation of F1 is largely due to the drop in precision. This is not surprising as at this point, the test data contains a lot of false positives propagated from the previous components. This has effect on the precision calculation but not recall (the recall scores do not change). When full automation is further added, the degradation is largely due to the drop in recall. This is because the automatic parser introduces noise that causes errors in the clause splitting step.