Discourse Parsing on RST-DT

Metric: Standard Parseval (Full) (higher is better)

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#	Model↕	Standard Parseval (Full)▼	Extra Data	Paper	Date↕	Code
1	Bottom-up Llama 2 (70B)	58.1	No	Can we obtain significant success in RST discour...	2024-03-08	Code
2	Top-down Llama 2 (70B)	56	No	Can we obtain significant success in RST discour...	2024-03-08	Code
3	Bottom-up Llama 2 (13B)	56	No	Can we obtain significant success in RST discour...	2024-03-08	Code
4	Bottom-up Llama 2 (7B)	55.8	No	Can we obtain significant success in RST discour...	2024-03-08	Code
5	Top-down Llama 2 (13B)	55.6	No	Can we obtain significant success in RST discour...	2024-03-08	Code
6	Top-down (XLNet)	54.8	No	A Simple and Strong Baseline for End-to-End Neur...	2022-10-15	Code
7	Top-down (DeBERTa)	54.4	No	A Simple and Strong Baseline for End-to-End Neur...	2022-10-15	Code
8	Bottom-up (XLNet)	54.2	No	A Simple and Strong Baseline for End-to-End Neur...	2022-10-15	Code
9	Top-down (RoBERTa)	53.8	No	A Simple and Strong Baseline for End-to-End Neur...	2022-10-15	Code
10	Bottom-up (RoBERTa)	53.7	No	A Simple and Strong Baseline for End-to-End Neur...	2022-10-15	Code
11	Top-down Llama 2 (7B)	53.4	No	Can we obtain significant success in RST discour...	2024-03-08	Code
12	Bottom-up (SpanBERT)	52.7	No	A Simple and Strong Baseline for End-to-End Neur...	2022-10-15	Code
13	Top-down (SpanBERT)	52.2	No	A Simple and Strong Baseline for End-to-End Neur...	2022-10-15	Code
14	LSTM Dynamic	50.3	No	Top-down Discourse Parsing via Sequence Labelling	2021-02-03	Code
15	End-to-end Top-down (XLNet)	50.2	No	RST Parsing from Scratch	2021-05-23	Code
16	DMRST (2021) + Cross-translation	50.1	Yes	DMRST: A Joint Framework for Document-Level Mult...	2021-10-09	Code
17	LSTM Static	49.4	No	Top-down Discourse Parsing via Sequence Labelling	2021-02-03	Code
18	Transformer (dynamic)	49.2	No	Top-down Discourse Parsing via Sequence Labelling	2021-02-03	Code
19	Transformer (static)	49	No	Top-down Discourse Parsing via Sequence Labelling	2021-02-03	Code
20	DMRST (2021)	48.6	No	DMRST: A Joint Framework for Document-Level Mult...	2021-10-09	Code
21	End-to-end Top-down (Glove)	46.8	No	RST Parsing from Scratch	2021-05-23	Code
22	Top-down (BERT)	46.6	No	A Simple and Strong Baseline for End-to-End Neur...	2022-10-15	Code
23	Nguyen et al. (2021)	46.6	No	RST Parsing from Scratch	2021-05-23	Code
24	Bottom-up (BERT)	46	No	A Simple and Strong Baseline for End-to-End Neur...	2022-10-15	Code

#1Bottom-up Llama 2 (70B)SOTA
58.1
Standard Parseval (Full)· 2024-03-08
Can we obtain significant success in RST discourse parsing by using Large Language Models?Code
#2Top-down Llama 2 (70B)
56
Standard Parseval (Full)· 2024-03-08
Can we obtain significant success in RST discourse parsing by using Large Language Models?Code
#3Bottom-up Llama 2 (13B)
56
Standard Parseval (Full)· 2024-03-08
Can we obtain significant success in RST discourse parsing by using Large Language Models?Code
#4Bottom-up Llama 2 (7B)
55.8
Standard Parseval (Full)· 2024-03-08
Can we obtain significant success in RST discourse parsing by using Large Language Models?Code
#5Top-down Llama 2 (13B)
55.6
Standard Parseval (Full)· 2024-03-08
Can we obtain significant success in RST discourse parsing by using Large Language Models?Code
#6Top-down (XLNet)SOTA
54.8
Standard Parseval (Full)· 2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing Code
#7Top-down (DeBERTa)
54.4
Standard Parseval (Full)· 2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing Code
#8Bottom-up (XLNet)
54.2
Standard Parseval (Full)· 2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing Code
#9Top-down (RoBERTa)
53.8
Standard Parseval (Full)· 2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing Code
#10Bottom-up (RoBERTa)
53.7
Standard Parseval (Full)· 2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing Code
#11Top-down Llama 2 (7B)
53.4
Standard Parseval (Full)· 2024-03-08
Can we obtain significant success in RST discourse parsing by using Large Language Models?Code
#12Bottom-up (SpanBERT)
52.7
Standard Parseval (Full)· 2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing Code
#13Top-down (SpanBERT)
52.2
Standard Parseval (Full)· 2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing Code
#14LSTM DynamicSOTA
50.3
Standard Parseval (Full)· 2021-02-03
Top-down Discourse Parsing via Sequence Labelling Code
#15End-to-end Top-down (XLNet)
50.2
Standard Parseval (Full)· 2021-05-23
RST Parsing from Scratch Code
#16DMRST (2021) + Cross-translation
50.1
Standard Parseval (Full)· Extra Data· 2021-10-09
DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing Code
#17LSTM Static
49.4
Standard Parseval (Full)· 2021-02-03
Top-down Discourse Parsing via Sequence Labelling Code
#18Transformer (dynamic)
49.2
Standard Parseval (Full)· 2021-02-03
Top-down Discourse Parsing via Sequence Labelling Code
#19Transformer (static)
49
Standard Parseval (Full)· 2021-02-03
Top-down Discourse Parsing via Sequence Labelling Code
#20DMRST (2021)
48.6
Standard Parseval (Full)· 2021-10-09
DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing Code
#21End-to-end Top-down (Glove)
46.8
Standard Parseval (Full)· 2021-05-23
RST Parsing from Scratch Code
#22Top-down (BERT)
46.6
Standard Parseval (Full)· 2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing Code
#23Nguyen et al. (2021)
46.6
Standard Parseval (Full)· 2021-05-23
RST Parsing from Scratch Code
#24Bottom-up (BERT)
46
Standard Parseval (Full)· 2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing Code