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SotA/Natural Language Processing/Data-to-Text Generation/E2E NLG Challenge

Data-to-Text Generation on E2E NLG Challenge

Metric: ROUGE-L (higher is better)

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#Model↕ROUGE-L▼Extra DataPaperDate↕Code
1Zhang70.83No---
2S_1^R70.82NoPragmatically Informative Text Generation2019-04-02Code
3TrICy (trK = 0)70.14NoTrICy: Trigger-guided Data-to-text Generation wi...2024-01-25-
4EDA_CS68.94NoCopy mechanism and tailored training for charact...2019-04-26Code
5TGen68.5NoFindings of the E2E NLG Challenge2018-10-02Code
6Self-memory68.41NoSelf-training from Self-memory in Data-to-text G...2024-01-19Code
7Sys1-Primary68.39Yes---
8Slug67.72YesA Deep Ensemble Model with Slot Alignment for Se...2018-05-16-
9EDA_CS (TL)67.4YesCopy mechanism and tailored training for charact...2019-04-26Code
10Gong66.45No---
11TUDA66.14No--Code