OpenCodePapers

discourse-parsing-on-instructional-dt-instr

Discourse Parsing

Results over time

Click legend items to toggle metrics. Hover points for model names.

Leaderboard

Paper	Code	Standard Parseval (Nuclearity)	Standard Parseval (Span)	Standard Parseval (Full)	Standard Parseval (Relation)	ModelName	ReleaseDate
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	60.0	77.8	44.4	51.4	Bottom-up (DeBERTa)	2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	57.9	77.3	43.4	50.0	Top-down (DeBERTa)	2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	56.4	73.6	40.7	47.4	Bottom-up (XLNet)	2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	56.1	75.7	41.5	48.7	Top-down (RoBERTa)	2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	55.5	73.2	41.4	47.9	Bottom-up (RoBERTa)	2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	55.2	74.3	40.2	47.0	Top-down (XLNet)	2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	54.5	73.7	36.7	42.7	Top-down (SpanBERT)	2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	53.8	72.9	40.5	46.0	Bottom-up (SpanBERT)	2022-10-15
Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining		46.59	65.41			Guz et al. (2020) (pretrained)	2020-11-06
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	46.3	66.6	32.9	39.5	Bottom-up (BERT)	2022-10-15
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing	✓ Link	44.6	65.3	30.9	37.6	Top-down (BERT)	2022-10-15
Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining		44.41	64.55			Guz et al. (2020)	2020-11-06