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RST Discourse Parsing on RST-DT Parseval (test)

88.3Span (S) Score

Human

Updated 4d ago

Evaluation Results

Method
Human 2021.02	88.3	77.3	65.4	64.7	-	-	-	-
Kobayashi et al. 2021.02	87	74.6	60	-	-	-	-	-
LSTM (dynamic) 2021.02	86.6	73.7	61.5	60.9	-	-	-	-
LSTM (static) 2021.02	86.4	73.4	60.8	60.3	-	-	-	-
Yu et al. (static) 2021.02	85.8	72.6	59.5	59	-	-	-	-
Yu et al. (dynamic) 2021.02	85.6	72.9	59.8	59.3	-	-	-	-
Yu et al. (1 run) 2021.02	85.5	73.1	60.2	59.9	-	-	-	-
Transformer (dynamic) 2021.02	85.5	72.3	60.5	59.9	-	-	-	-
Transformer (static) 2021.02	85.2	72	60.3	59.6	-	-	-	-
Feng and Hirst 2021.02	84.3	69.4	56.9	56.2	-	-	-	-
LSTM (dynamic) w/o boundary 2021.02	83.6	70.4	58.8	58.2	-	-	-	-
LSTM (static) w/o boundary 2021.02	83.2	70.4	58.4	57.9	-	-	-	-
Surdeanu et al. 2021.02	82.6	67.1	55.4	54.9	-	-	-	-
Joty et al. 2021.02	82.6	68.3	55.8	54.4	-	-	-	-
Hayashi et al. 2021.02	82.6	66.6	54.6	54.3	-	-	-	-
Li et al. 2021.02	82.2	66.5	51.4	50.6	-	-	-	-
Ji and Eisenstein 2021.02	82	68.2	57.8	57.6	-	-	-	-
Braud et al. 2021.02	81.3	68.1	56.3	56	-	-	-	-
Human Agreement 2021.05	78.7	66.8	57.1	55	88.7	77.3	65.4	-
RST-Parser (with XLNet) 2021.05	74.3	64.3	51.6	50.2	87.6	76	61.8	-
Yu et al. (2018) 2021.05	71.4	60.3	49.2	48.1	85.5	73.1	60.2	-
RST-Parser (with GloVe) 2021.05	71.1	59.6	47.7	46.8	-	-	-	-
Feng and Hirst (2014) 2021.05	68.6	55.9	45.8	44.6	-	-	-	-
RST-Parser 2021.05	68.4	59.1	47.8	46.6	-	-	-	-
Zhang et al. (2020) 2021.05	67.2	55.5	45.3	44.3	-	-	-	-
Joty et al. (2015) 2021.05	65.1	55.5	45.1	44.3	-	-	-	-
Li et al. (2016) 2021.05	64.5	54	38.1	36.6	-	-	-	-
Ji and Eisenstein (2014) 2021.05	64.1	54.2	46.8	46.3	-	-	-	-
RST-Parser 2021.05	63.8	53	43.1	42.1	-	-	-	-
Braud et al. (2017) 2021.05	62.7	54.5	45.5	45.1	-	-	-	-
Zhang et al. 2021.05	62.3	50.1	40.7	39.6	-	-	-	-
Braud et al. (2016) 2021.05	59.5	47.2	34.7	34.3	-	-	-	-
Wang et al. (2017) 2021.05	-	-	-	-	86	72.4	59.7	-
Kobayashi et al. (2020) 2021.05	-	-	-	-	87	74.6	60	-