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

Data-to-Text Generation on E2E NLG Challenge

Metric: NIST (higher is better)

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#Model↕NIST▼Extra DataPaperDate↕Code
1S_1^R8.73NoPragmatically Informative Text Generation2019-04-02Code
2Slug8.613YesA Deep Ensemble Model with Slot Alignment for Se...2018-05-16-
3TGen8.6094NoFindings of the E2E NLG Challenge2018-10-02Code
4EDA_CS (TL)8.5615YesCopy mechanism and tailored training for charact...2019-04-26Code
5EDA_CS8.515NoCopy mechanism and tailored training for charact...2019-04-26Code
6Sys1-Primary8.5105Yes---
7Self-memory8.35NoSelf-training from Self-memory in Data-to-text G...2024-01-19Code
8Gong8.3453No---
9Zhang8.1804No---
10TUDA7.4544No--Code