Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
Table 1: Results on the dependency task (test set).
['Model', 'P', 'R', 'F1']
XPAD significantly outperforms the strongest baselines, ProGlobal and ProStruct, by more than 3 points F1. XPAD has much higher precision than ProGlobal with similar recall, suggesting that XPAD’s dependency-aware decoder helps it select more accurate dependencies. Compared with ProStruct, it yields more than 11.6 points improvement on recall. As XPAD adds a novel dependency layer on top of the ProStruct architecture, we note that all these gains come exclusively from the dependency layer.