Text Generation on E2E NLG Challenge

Metric: CIDEr (higher is better)

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#	Model↕	CIDEr▼	Extra Data	Paper	Date↕	Code
1	S_1^R	2.37	No	Pragmatically Informative Text Generation	2019-04-02	Code
2	Gong	2.2721	No	-	-	-
3	EDA_CS	2.2355	No	Copy mechanism and tailored training for charact...	2019-04-26	Code
4	TGen	2.2338	No	Findings of the E2E NLG Challenge	2018-10-02	Code
5	Sys1-Primary	2.2183	Yes	-	-	-
6	EDA_CS (TL)	2.1803	Yes	Copy mechanism and tailored training for charact...	2019-04-26	Code
7	Self-memory	2.16	No	Self-training from Self-memory in Data-to-text G...	2024-01-19	Code
8	Zhang	2.1012	No	-	-	-
9	TUDA	1.8206	No	-	-	Code

#1S_1^RSOTA
2.37
CIDEr· 2019-04-02
Pragmatically Informative Text Generation Code
#2Gong
2.2721
CIDEr
No paper
#3EDA_CS
2.2355
CIDEr· 2019-04-26
Copy mechanism and tailored training for character-based data-to-text generation Code
#4TGenSOTA
2.2338
CIDEr· 2018-10-02
Findings of the E2E NLG Challenge Code
#5Sys1-Primary
2.2183
CIDEr· Extra Data
No paper
#6EDA_CS (TL)
2.1803
CIDEr· Extra Data· 2019-04-26
Copy mechanism and tailored training for character-based data-to-text generation Code
#7Self-memory
2.16
CIDEr· 2024-01-19
Self-training from Self-memory in Data-to-text Generation Code
#8Zhang
2.1012
CIDEr
No paper
#9TUDA
1.8206
CIDEr
No paperCode