Simple BERT Models for Relation Extractionand Semantic Role Labeling
Table 4: Performance comparison on dependency-based SRL.
['[EMPTY]', 'Model', 'CoNLL 09 (In-domain) P', 'CoNLL 09 (In-domain) R', 'CoNLL 09 (In-domain)  [ITALIC] F1', 'Out-of-domain (Brown) P', 'Out-of-domain (Brown) R', 'Out-of-domain (Brown)  [ITALIC] F1']
We see that the BERT-LSTM-large model (using the predicate sense disambiguation results from above) yields large F1 score improvements over the existing state of the art Li et al. This is achieved without using any linguistic features and declarative decoding constraints.