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Dependency Parsing on Chinese Treebank (CTB) (test)

94.6UAS

Mrini et al.

Updated 1mo ago

Evaluation Results

Method
Mrini et al. 2023.06	94.6	89.3
LAL-Parser 2019.11	94.56	89.28
HPSG+LA 2021.05	94.56	89.28
Yang and Tu 2023.06	93.5	92.5
Joint Span HPSG 2019.07	93.24	91.95
Hexatagger 2023.06	93.2	91.9
Ours-Proj 2021.05	93.14	91.27
Ours-Nproj 2021.05	93.06	91.21
SynTr+RNGTr 2021.05	92.98	91.18
HiePTR 2021.05	92.7	91.5
Ours-Proj 2021.05	92.68	90.91
MulPTR+BERT 2021.05	92.58	91.42
Biaffine 2021.05	92.58	90.7
Ours-Nproj 2021.05	92.58	90.83
MP2O 2021.05	92.55	90.69
Biaffine 2021.05	92.45	90.48
MP2O 2021.05	92.37	90.4
Division Span HPSG 2019.07	91.69	90.54
Joint Span HPSG 2019.07	91.21	89.15
Zhou and Zhao 2019.11	91.21	89.15
Zhou and Zhao 2023.06	91.2	89.2
Ours-Proj 2021.05	91.15	89.68
Ours-Nproj 2021.05	91.12	89.55
GNN 2021.05	90.78	89.5
HiePTR 2021.05	90.76	89.67
MulPTR 2021.05	90.61	89.51
STACKPTR 2018.05	90.59	89.29
Ma et al. 2019.07	90.59	89.29
Ma et al. 2019.11	90.59	89.29
StackPTR 2021.05	90.59	89.29
STACKPTR 2018.05	90.49	89.19
STACKPTR 2018.05	90.48	89.19
BiAF 2018.05	90.43	89.14
STACKPTR 2018.05	90.43	89.15
Biaffine+Glyce 2019.01	90.2	89
Ensemble MST Parser 2016.09	89.8	88.56
In-order parser 2017.07	89.4	88.4
BiAF 2018.05	89.3	88.23
Dozat and Manning 2017.07	89.3	88.2
Dozat and Manning 2019.07	89.3	88.23
Biaffine 2019.01	89.3	88.2
Dozat and Manning 2019.11	89.3	88.23
Biaffine 2021.05	89.3	88.23
Dozat and Manning 2023.06	89.3	88.2
Division Span HPSG 2019.07	89.14	87.31
Ma and Hovy 2018.05	89.05	87.74
Ma and Hovy 2019.07	89.05	87.74
Ma and Hovy 2019.11	89.05	87.74
Kuncoro et al. 2018.05	88.87	87.3
Neural FOG, CD (distilled) 2016.09	88.87	87.3
Kuncoro et al. 2019.07	88.87	87.3
Kuncoro et al. 2019.11	88.87	87.3
Li et al. 2019.07	88.78	86.23
Li et al. 2019.11	88.78	86.23
Cheng et al. 2018.05	88.1	85.7
Cheng et al. 2017.07	88.1	85.7
Cheng et al. 2019.07	88.1	85.7
Cheng et al. 2019.01	88.1	85.7
Ma and Zhao (2012) 2016.09	87.74	-
Ballesteros et al. 2017.07	87.7	86.2
Ballesteros et al. 2019.01	87.7	86.2
Ballesteros et al. 2018.05	87.65	86.21
Ballesteros et al. (2016) 2016.09	87.65	86.21
Zhang et al. 2019.07	87.65	86.17
BiLSTM Parser 2016.03	87.6	86.1
Ballesteros16 2016.03	87.6	86.2
Kiperwasser and Goldberg 2018.05	87.6	86.1
Kiperwasser and Goldberg (2016) 2016.09	87.6	86.1
Kiperwasser and Goldberg 2017.07	87.6	86.1
Kiperwasser and Eliyahu 2019.01	87.6	86.1
Wang and Chang 2018.05	87.55	86.23
Wang and Chang (2016) 2016.09	87.55	86.23
BiLSTM Parser 2016.03	87.4	85.9
In-order parser 2017.07	87.4	86.4
Neural FOG, CH 2016.09	87.32	85.82
Bohnet and Nivre 2018.05	87.3	85.9
Bohnet and Nivre (2012) 2016.09	87.3	85.9
Dyer et al. 2018.05	87.2	85.7
Dyer et al. (2015) 2016.09	87.2	85.7
Dyer15 2016.03	87.1	85.5
BiLSTM Parser 2016.03	86.6	85.1
Kiperwasser and Goldberg 2018.05	86.6	85.1
Kiperwasser and Goldberg (2016) 2016.09	86.6	85.1
BiLSTM Parser 2016.03	86.5	84.9
BiLSTM Parser 2016.03	86.5	84.9
BiLSTM Parser 2016.03	86.2	85
Ballesteros16 2016.03	86.1	84.5
ZhangNivre11 2016.03	86	84.4
Zhang and Nivre (2011) 2016.09	86	84.4
Dyer15 2016.03	85.7	84.1
Zhu15 2016.03	85.7	-
Zhu et al. (2015) 2016.09	85.7	-
Dyer et al. 2017.07	85.5	84
Ballesteros et al. 2018.05	85.3	83.72
Ballesteros et al. (2015) 2016.09	85.3	83.72
Chen and Manning 2018.05	83.9	82.4
Chen and Manning (2014) 2016.09	83.9	82.4
Chen and Manning 2019.07	83.9	82.4
Chen and Manning 2023.06	83.9	82.4