Semantic Role Labeling On Conll 2005

Results

Performance results of various models on this benchmark

Model Name	F1	Paper Title	Repository
Li et al. (2019) + ELMo	86.3	Dependency or Span, End-to-End Uniform Semantic Role Labeling
CRF2o + RoBERTa	89.54	Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments
He et al. (2018) + ELMo	86.0	Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
CRF2o	87.87	Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments
Li et al. (2019)	83.0	Dependency or Span, End-to-End Uniform Semantic Role Labeling
BiLSTM-Span (Ensemble, predicates given)	88.5	A Span Selection Model for Semantic Role Labeling
SRL-MM + XLNet	89.80	Syntax-driven Approach for Semantic Role Labeling
Li et al. (2019) (Ensemble)	87.7	Dependency or Span, End-to-End Uniform Semantic Role Labeling
HeSyFu	89.04	-	-
MRC-SRL	90.0	An MRC Framework for Semantic Role Labeling
BiLSTM-Span	87.6	A Span Selection Model for Semantic Role Labeling
He et al. (2018)	82.5	Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling
LISA	86.04	Linguistically-Informed Self-Attention for Semantic Role Labeling
Mohammadshahi and Henderson (2021)	88.93	Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling	-
CRF2o + BERT	89.03	Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments

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