Linguistically-Informed Self-Attention for Semantic Role Labeling
Table 4: Parsing (labeled and unlabeled attachment) and POS accuracies attained by the models used in SRL experiments on test datasets. Subscript G denotes GloVe and E ELMo embeddings.
['Data', 'Model', 'POS', 'UAS', 'LAS']
D&M achieves the best scores. Still, LISA’s The difference in parse accuracy between LISAG and D&M likely explains the large increase in SRL performance we see from decoding with D&M parses in that setting.