Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks
Table 5: Labeled F1 score (including senses) for all languages on the CoNLL-2009 in-domain test sets. For previous best result, Japanese (Ja) is from watanabe-etal-2010-structured, Catalan (Ca) is from zhao2009multilingual, Spanish (Es) and German (De) are from roth2016neural, Czech (Cz) is from henderson-etal-2013-multilingual, Chinese (Zh) is from cai2018full and English (En) is from li2019dependency.
['[BOLD] Model', '[BOLD] Ja', '[BOLD] Es', '[BOLD] Ca', '[BOLD] De', '[BOLD] Cz', '[BOLD] Zh', '[BOLD] En', '[BOLD] Avg.']
Interestingly, the effectiveness of the refinement method does not seem to be dependent on the dataset size: the improvements on the smallest (Japanese) and the largest datasets (English) are among the largest.