Syntax-Enhanced Self-Attention-Based Semantic Role Labeling
Table 8: SRL results on the English test set. We use syntactic dependency results generated by BiaffineParser (On test set, syntactic performance is: UAS = 94.35%, and LAS = 92.54%, which improves about 6% compared to automatic trees in CoNLL-2009.).
['[BOLD] English', '[BOLD] P', '[BOLD] R', '[BOLD] F1']
Although both configurations are not exactly the same as their original papers, we tried our best to reproduce their methods on the CoNLL2009 dataset for our comparison. Overall, the results are consistent with the Chinese experiments, while the improvement is not as large as the Chinese counterparts. The RelAwe model with DepPath&RelPath still achieves the best performance. Applying our syntax-enhanced model to more languages will be an interesting research direction to work on in the future.