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ai-forever/spellcheck_punctuation_benchmark

1,793 downloads in 30 days5 likesLast modified 3 Apr 2024View on Hugging Face

Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at efa1663
Licence files: No licence file at the top level of the repositoryEvidence: file list at efa1663
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

text-generation

Citation text from the card

@inproceedings{martynov2023augmentation,
  title={Augmentation methods for spelling corruptions},
  author={Martynov, Nikita and Baushenko, Mark and Abramov, Alexander and Fenogenova, Alena},
  booktitle={Proceedings of the International Conference “Dialogue},
  volume={2023},
  year={2023}
}

@inproceedings{martynov-etal-2024-methodology,
    title = "A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages",
    author = "Martynov, Nikita  and
      Baushenko, Mark  and
      Kozlova, Anastasia  and
      Kolomeytseva, Katerina  and
      Abramov, Aleksandr  and
      Fenogenova, Alena",
    editor = "Graham, Yvette  and
      Purver, Matthew",
    booktitle = "Findings of the Association for Computational Linguistics: EACL 2024",
    month = mar,
    year = "2024",
    address = "St. Julian{'}s, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.findings-eacl.10",
    pages = "138--155",
    abstract = "Large language models excel in text generation and generalization, however they face challenges in text editing tasks, especially in correcting spelling errors and mistyping.In this paper, we present a methodology for generative spelling correction (SC), tested on English and Russian languages and potentially can be extended to any language with minor changes. Our research mainly focuses on exploring natural spelling errors and mistyping in texts an

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dataset_licence({ "id": "ai-forever/spellcheck_punctuation_benchmark" })
signal: "permissive"
stated_licence: "mit"
sources: 0