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Datasets/E2E

E2E

End-to-End NLG Challenge

TextsCC BY-SA 4.0Introduced 2017-06-28

End-to-End NLG Challenge (E2E) aims to assess whether recent end-to-end NLG systems can generate more complex output by learning from datasets containing higher lexical richness, syntactic complexity and diverse discourse phenomena.

Source: Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge

Benchmarks

Data-to-Text Generation/METEORTable-to-Text Generation/BLEUTable-to-Text Generation/CIDErTable-to-Text Generation/METEORTable-to-Text Generation/NISTTable-to-Text Generation/ROUGE-LText Generation/METEORText Generation/BLEUText Generation/CIDErText Generation/NISTText Generation/ROUGE-L

Related Benchmarks

E2E NLG Challenge/Data-to-Text Generation/BLEUE2E NLG Challenge/Data-to-Text Generation/CIDErE2E NLG Challenge/Data-to-Text Generation/METEORE2E NLG Challenge/Data-to-Text Generation/NISTE2E NLG Challenge/Data-to-Text Generation/Number of parameters (M)E2E NLG Challenge/Data-to-Text Generation/ROUGE-LE2E NLG Challenge/Text Generation/BLEUE2E NLG Challenge/Text Generation/CIDErE2E NLG Challenge/Text Generation/METEORE2E NLG Challenge/Text Generation/NISTE2E NLG Challenge/Text Generation/Number of parameters (M)E2E NLG Challenge/Text Generation/ROUGE-L

Statistics

Papers
90
Benchmarks
11

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Data-to-Text GenerationLanguage ModellingTable-to-Text GenerationText Generation