One Vector is Not Enough:Entity-Augmented Distributional Semantics for Discourse Relations
Table 4: Evaluation on the first-level discourse relation identification. The results of the competitive systems are reprinted.
['[EMPTY]', 'Comparison F1', 'Comparison Acc', 'Contingency F1', 'Contingency Acc', 'Expansion F1', 'Expansion Acc', 'Temporal F1', 'Temporal Acc']
Our model achieves the best results on most metrics, achieving F-measure improvements of 4.52% on Comparison, 1.57% on Contingency, 0.69% on Expansion, and 0.34% on Temporal. These results are attained without performing per-relation feature selection, as in prior work.