Semantic Role Labeling with Iterative Structure Refinement
Table 5: Labeled F1 score (including senses) for all languages on the CoNLL-2009 in-domain test set.
['Model', 'Ca', 'Cz', 'De', 'En', 'Ja', 'Es', 'Zh', 'Avg.']
Argument Interaction vs. No Argument Interaction Both networks share the same hyper-parameters. The structured refinement network consistently outperforms the self-refinement counterpart. This suggests that the refinement model benefits from accessing information about other arguments when doing refinement. In other words, modeling argument interaction appears genuinely useful.