HyperAI超神経

ホームニュース最新論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

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日本語

HyperAI超神経

Discourse Parsing On Instructional Dt Instr

評価指標

Standard Parseval (Full)

Standard Parseval (Nuclearity)

Standard Parseval (Relation)

Standard Parseval (Span)

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

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

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