ML Research Wiki / Benchmarks / Discourse Parsing / Instructional-DT (Instr-DT)

Instructional-DT (Instr-DT)

Discourse Parsing Benchmark

Performance Over Time

📊 Showing 12 results | 📏 Metric: Standard Parseval (Nuclearity)

Top Performing Models

Rank	Model	Paper	Standard Parseval (Nuclearity)	Date	Code
1	Bottom-up (DeBERTa)	A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	77.80	2022-10-15	📦 nttcslab-nlp/rstparser_emnlp22
2	Top-down (DeBERTa)	A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	77.30	2022-10-15	📦 nttcslab-nlp/rstparser_emnlp22
3	Top-down (RoBERTa)	A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	75.70	2022-10-15	📦 nttcslab-nlp/rstparser_emnlp22
4	Top-down (XLNet)	A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	74.30	2022-10-15	📦 nttcslab-nlp/rstparser_emnlp22
5	Top-down (SpanBERT)	A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	73.70	2022-10-15	📦 nttcslab-nlp/rstparser_emnlp22
6	Bottom-up (XLNet)	A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	73.60	2022-10-15	📦 nttcslab-nlp/rstparser_emnlp22
7	Bottom-up (RoBERTa)	A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	73.20	2022-10-15	📦 nttcslab-nlp/rstparser_emnlp22
8	Bottom-up (SpanBERT)	A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	72.90	2022-10-15	📦 nttcslab-nlp/rstparser_emnlp22
9	Bottom-up (BERT)	A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	66.60	2022-10-15	📦 nttcslab-nlp/rstparser_emnlp22
10	Guz et al. (2020) (pretrained)	Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining	65.41	2020-11-06	-

All Papers (12)

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Bottom-up (DeBERTa)

nttcslab-nlp/rstparser_emnlp22

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Top-down (DeBERTa)

nttcslab-nlp/rstparser_emnlp22

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Top-down (RoBERTa)

nttcslab-nlp/rstparser_emnlp22

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Top-down (XLNet)

nttcslab-nlp/rstparser_emnlp22

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Top-down (SpanBERT)

nttcslab-nlp/rstparser_emnlp22

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Bottom-up (XLNet)

nttcslab-nlp/rstparser_emnlp22

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Bottom-up (RoBERTa)

nttcslab-nlp/rstparser_emnlp22

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Bottom-up (SpanBERT)

nttcslab-nlp/rstparser_emnlp22

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Bottom-up (BERT)

nttcslab-nlp/rstparser_emnlp22

Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining

2020

Guz et al. (2020) (pretrained)

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

2022

Top-down (BERT)

nttcslab-nlp/rstparser_emnlp22

Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining

2020

Guz et al. (2020)

Instructional-DT (Instr-DT)

Performance Over Time

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Top Performing Models

All Papers (12)

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining

Model	Paper	Standard Parseval (Nuclearity)	Date
Bottom-up (DeBERTa)	A Simple and Strong Baseline for End-to-End Neura…	77.80	2022-10-15
Top-down (DeBERTa)	A Simple and Strong Baseline for End-to-End Neura…	77.30	2022-10-15
Top-down (RoBERTa)	A Simple and Strong Baseline for End-to-End Neura…	75.70	2022-10-15
Top-down (XLNet)	A Simple and Strong Baseline for End-to-End Neura…	74.30	2022-10-15
Top-down (SpanBERT)	A Simple and Strong Baseline for End-to-End Neura…	73.70	2022-10-15
Bottom-up (XLNet)	A Simple and Strong Baseline for End-to-End Neura…	73.60	2022-10-15
Bottom-up (RoBERTa)	A Simple and Strong Baseline for End-to-End Neura…	73.20	2022-10-15
Bottom-up (SpanBERT)	A Simple and Strong Baseline for End-to-End Neura…	72.90	2022-10-15
Bottom-up (BERT)	A Simple and Strong Baseline for End-to-End Neura…	66.60	2022-10-15
Guz et al. (2020) (pretrained)	Unleashing the Power of Neural Discourse Parsers …	65.41	2020-11-06
Top-down (BERT)	A Simple and Strong Baseline for End-to-End Neura…	65.30	2022-10-15
Guz et al. (2020)	Unleashing the Power of Neural Discourse Parsers …	64.55	2020-11-06