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larrylawl/multilexnorm

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Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at b4c95cd
Licence files: No licence file at the top level of the repositoryEvidence: file list at b4c95cd
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{van-der-goot-etal-2021-multilexnorm,
    title = "{M}ulti{L}ex{N}orm: A Shared Task on Multilingual Lexical Normalization",
    author = {van der Goot, Rob  and
      Ramponi, Alan  and
      Zubiaga, Arkaitz  and
      Plank, Barbara  and
      Muller, Benjamin  and
      San Vicente Roncal, I{\~n}aki  and
      Ljube{\v{s}}i{\'c}, Nikola  and
      {\c{C}}etino{\u{g}}lu, {\"O}zlem  and
      Mahendra, Rahmad  and
      {\c{C}}olako{\u{g}}lu, Talha  and
      Baldwin, Timothy  and
      Caselli, Tommaso  and
      Sidorenko, Wladimir},
    booktitle = "Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)",
    month = nov,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.wnut-1.55",
    doi = "10.18653/v1/2021.wnut-1.55",
    pages = "493--509",
    abstract = "Lexical normalization is the task of transforming an utterance into its standardized form. This task is beneficial for downstream analysis, as it provides a way to harmonize (often spontaneous) linguistic variation. Such variation is typical for social media on which information is shared in a multitude of ways, including diverse languages and code-switching. Since the seminal work of Han and Baldwin (2011) a decade ago, lexical normalization has attracted attention in English and multiple other languages. However, there exists a lack of a common benchmark for comparison of systems ac

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dataset_licence({ "id": "larrylawl/multilexnorm" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0