A Walk-based Model on Entity Graphs for Relation Extraction
Table 1: Relation extraction performance on ACE 2005 test dataset. * denotes significance at p < 0.05 compared to SPTree, ⋄ denotes significance at p < 0.05 compared to the Baseline.
['Model', 'P', 'R', 'F1 (%)']
We use the same data split with SPTree to compare with their model. We retrained their model with gold entities in order to compare the performances on the relation extraction task. The Baseline corresponds to a model that classifies relations by using only the representations of entities in a target pair. This indicates that the proposed model can achieve comparable performance without any external syntactic tools.