Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank
Table 1: Joint SRL results on CoNLL-2005 and CoNLL-2009 test sets with gold predicates setup, as compared to previous systems. It is noteworthy that predict syntax is used in FitzGerald et al. (2015).
['Gold predicates', 'CoNLL05 WSJ P', 'CoNLL05 WSJ R', 'CoNLL05 WSJ F1', 'CoNLL05 Brown P', 'CoNLL05 Brown R', 'CoNLL05 Brown F1', 'CoNLL09 WSJ P', 'CoNLL09 WSJ R', 'CoNLL09 WSJ F1', 'CoNLL09 Brown P', 'CoNLL09 Brown R', 'CoNLL09 Brown F1']
In contrast to previous methods, we used a single model (instead of two independent models) to optimize the joint objectives. It shows that our model yields an absolute improvement on dependency (+1.7) and span (+0.7). With the help of the pretrained language model features (ELMo, BERT), the performance can be further improve and the improvement is orthogonal to our contributions.