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Semantic Role Labeling on CoNLL WSJ English benchmark 2009 (test)

92.83F1 Score

Fei et al. (2021a) ++ROBERTa

Updated 3d ago

Evaluation Results

Method	Links
Fei et al. (2021a) ++ROBERTa 2025.06		92.83	92.89	92.8
Fei et al. (2021a) 2025.06		92.45	92.24	92.53
Llama3-8B (Fine-tune) 2025.06		91.89	92.78	91.02
Li et al. (2020) + BERT 2025.06		91.77	92.59	90.98
Fernández-González (2023) + BERT 2025.06		91.4	91.3	91.6
UniSRL 2019.01		90.4	89.6	91.2
Fernández-González (2023) 2025.06		90.4	90.2	90.5
Li et al. (2020) 2025.06		90.26	91.6	88.95
Li et al. (2018b) 2019.01		89.8	90.3	89.3
Cai et al. (2018) 2019.01		89.6	89.9	89.2
He et al. (2018b) 2019.01		89.5	89.7	89.3
Marcheggiani and Titov (2017) 2019.01		89.1	90.5	87.7
Llama3-8B (Fine-tune) 2025.06		89.07	89.92	88.23
Zhou et al. (2020) + BERT 2025.06		88.91	89.04	88.79
Li et al. (2020) + BERT 2025.06		88.7	88.77	88.62
Fernández-González (2023) + BERT 2025.06		88.5	87.2	89.8
Marcheggiani and Titov (2017) 2019.01		88	89.1	86.8
Roth and Lapata (2016) 2019.01		87.9	90.3	85.7
Roth and Lapata (2016) (Global) 2019.01		87.7	90	85.5
Marcheggiani et al. (2017) 2019.01		87.7	88.7	86.8
FitzGerald et al. (2015) 2019.01		87.7	-	-
Zhou et al. (2020) + BERT 2025.06		87.62	86.77	88.49
FitzGerald et al. (2015) (Struct.) 2019.01		87.3	-	-
Fernández-González (2023) 2025.06		86.9	85.9	88
Zhao et al. (2009) 2019.01		86.2	-	-
Li et al. (2020) 2025.06		85.86	86.16	85.56
Zhou et al. (2020) 2025.06		85.86	84.24	87.55
Zhou et al. (2020) 2025.06		85.84	85.93	85.76
ChatGPT+SimCSE KNN 2025.06		84.8	-	-
Llama3-8B (Frozen) 2025.06		4.43	4.19	4.71
Llama3-8B (Frozen) 2025.06		2.17	2.63	1.85