Graph-Based Decoding for Event Sequencing and Coreference Resolution
Table 5: Ablation Study for Event Sequencing.
['[EMPTY]', 'Prec.', 'Recall', 'F-Score', 'Δ']
While most of the features only affect the performance by less than 1 absolute F1 score, the feature sets after removing mention or sentences show a significant drop in both precision and recall. This shows that discourse proximity is the most significant ones among these features. In addition, the mention feature set captures the following explain away intuition: the event mentions A and B are less likely to be related if there are similar mentions in between.