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HiTZ/cometa

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Permissive or share-alike

The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at a01efac
Licence files: No licence file at the top level of the repositoryEvidence: file list at a01efac
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

token-classification

Citation text from the card

@inproceedings{sanchez-bayona-agerri-2022-leveraging,
    title = "Leveraging a New {S}panish Corpus for Multilingual and Cross-lingual Metaphor Detection",
    author = "Sanchez-Bayona, Elisa  and
      Agerri, Rodrigo",
    editor = "Fokkens, Antske  and
      Srikumar, Vivek",
    booktitle = "Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.conll-1.16",
    doi = "10.18653/v1/2022.conll-1.16",
    pages = "228--240",
    abstract = "The lack of wide coverage datasets annotated with everyday metaphorical expressions for languages other than English is striking. This means that most research on supervised metaphor detection has been published only for that language. In order to address this issue, this work presents the first corpus annotated with naturally occurring metaphors in Spanish large enough to develop systems to perform metaphor detection. The presented dataset, CoMeta, includes texts from various domains, namely, news, political discourse, Wikipedia and reviews. In order to label CoMeta, we apply the MIPVU method, the guidelines most commonly used to systematically annotate metaphor on real data. We use our newly created dataset to provide competitive baselines by fine-tuning several multilingual and monolingual state-of-the-art lar

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dataset_licence({ "id": "HiTZ/cometa" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0