mlsanityData to 14 Oct 2026

E2E Refined Dataset

arXiv 2211.00513 ↗First posted 1 Nov 2022cs.CLcited by 0

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Abstract (arXiv)

Although the well-known MR-to-text E2E dataset has been used by many researchers, its MR-text pairs include many deletion/insertion/substitution errors. Since such errors affect the quality of MR-to-text systems, they must be fixed as much as possible. Therefore, we developed a refined dataset and some python programs that convert the original E2E dataset into a refined dataset.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 16 references that are in the map. First posted on arXiv 1 Nov 2022.

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7 of 16 references.

References · 7

  1. 2014CIDEr: Consensus-based Image Description Evaluationcited by 2,046
  2. 2017The E2E Dataset: New Challenges For End-to-End Generationcited by 253
  3. 2017Challenges in Data-to-Document Generationcited by 226
  4. 2019Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challengecited by 86
  5. 2019Semantic Noise Matters for Neural Natural Language Generationcited by 64
  6. 2016Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Stringscited by 27
  7. 2021A Survey of Natural Language Generationcited by 13

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