Bottom-up (DeBERTa)

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Discourse ParsingonInstructional-DT (Instr-DT)
Standard Parseval (Full)· 2022-10-15
44.4
SOTA
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing arXiv:2210.08355
Discourse ParsingonInstructional-DT (Instr-DT)
Standard Parseval (Nuclearity)· 2022-10-15
60
SOTA
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing arXiv:2210.08355
Discourse ParsingonInstructional-DT (Instr-DT)
Standard Parseval (Relation)· 2022-10-15
51.4
SOTA
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing arXiv:2210.08355
Discourse ParsingonInstructional-DT (Instr-DT)
Standard Parseval (Span)· 2022-10-15
77.8
SOTA
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing arXiv:2210.08355