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Dependency Parsing on CoNLL 2009 (test)

91.86UAS

Ensemble MST Parser

Updated 3d ago

Evaluation Results

Method	Links
Ensemble MST Parser 2016.09		91.86	-	-	-	-	-	-	-	-	-	-	-	-	-	-	89.98
Neural FOG, CD (distilled) 2016.09		91.6	-	-	-	-	-	-	-	-	-	-	-	-	-	-	89.24
Bohnet and Nivre (2012) 2016.09		91.37	-	-	-	-	-	-	-	-	-	-	-	-	-	-	89.38
Neural FOG, CH 2016.09		91.22	-	-	-	-	-	-	-	-	-	-	-	-	-	-	88.82
Andor et al. (2016) 2016.09		90.91	-	-	-	-	-	-	-	-	-	-	-	-	-	-	89.15
CRF2O 2020.05		89.63	-	-	-	-	-	-	-	-	-	-	-	-	-	-	86.52
Yazdani and Henderson (2015) 2016.09		89.6	-	-	-	-	-	-	-	-	-	-	-	-	-	-	86
CRF2O 2020.05		89.49	-	-	-	-	-	-	-	-	-	-	-	-	-	-	86.39
CRF 2020.05		89.28	-	-	-	-	-	-	-	-	-	-	-	-	-	-	86.18
Loc 2020.05		89.15	-	-	-	-	-	-	-	-	-	-	-	-	-	-	85.98
CRF 2020.05		89.14	-	-	-	-	-	-	-	-	-	-	-	-	-	-	86.06
Biaffine17 2020.05		88.9	-	-	-	-	-	-	-	-	-	-	-	-	-	-	85.38
Ballesteros et al. (2015) 2016.09		88.83	-	-	-	-	-	-	-	-	-	-	-	-	-	-	86.1
Li19 2020.05		88.77	-	-	-	-	-	-	-	-	-	-	-	-	-	-	85.58
Best Shared Task Result 2016.03		-	87.86	-	79.17	-	80.38	-	89.88	-	87.48	-	92.57	-	87.64	-	-
Ballesteros et al. (2015) 2016.03		-	90.22	86.42	80.64	76.52	79.87	73.62	90.56	88.01	88.83	86.1	93.47	92.55	90.38	86.59	-
Zhang and McDonald (2014) 2016.03		-	91.41	87.91	82.87	78.57	86.62	80.59	92.69	90.01	89.88	87.38	92.82	91.87	90.82	87.34	-
Lei et al. (2014) 2016.03		-	91.33	87.22	81.67	76.71	88.76	81.77	92.75	90	90.81	87.81	94.04	91.84	91.16	87.38	-
Bohnet and Nivre (2012) 2016.03		-	92.44	89.6	82.52	78.51	88.82	83.73	92.87	90.6	91.37	89.38	93.67	92.63	92.24	89.6	-
Alberti et al. (2015) 2016.03		-	92.31	89.17	83.57	79.9	88.45	83.57	92.7	90.56	90.58	88.2	93.99	93.1	92.26	89.33	-
Our Local 2016.03		-	91.24	88.21	81.29	77.29	85.78	80.63	91.44	89.29	89.12	86.95	93.71	92.85	91.01	88.14	-
Our Local 2016.03		-	91.91	88.93	82.22	78.26	86.25	81.28	92.16	90.05	89.53	87.4	93.61	92.74	91.64	88.88	-
Our Global 2016.03		-	92.67	89.83	84.72	80.85	88.94	84.56	93.22	91.23	90.91	89.15	93.65	92.84	92.62	89.95	-