Natural Language Processing Advancements By Deep Learning: A Survey
TABLE IV: Semantic Role Labeling current state-of-the-art models evaluated on the OntoNotes dataset [pradhan2013towards]. The accuracy metric is F1 score.
['Model', 'Accuracy\xa0( [ITALIC] F1)']
Most of the previously-reported research efforts are based on explicit representations of semantic roles. Recently, deep learning approaches have achieved the SRL state-of-the-art without taking the explicit syntax representation into consideration [tan2017deep]. A linguistically-informed self-attention (LISA) model has been proposed to leverage both multi-task learning and self-attention for effective utilization of the syntactic information for SRL [strubell2018linguistically].