SINAI/CONAN-MT-SP

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@inproceedings{vallecillo-rodriguez-etal-2024-conan-mt,
    title = "{CONAN}-{MT}-{SP}: A {S}panish Corpus for Counternarrative Using {GPT} Models",
    author = "Vallecillo Rodr{\'\i}guez, Mar{\'\i}a Estrella  and
      Cantero Romero, Maria Victoria  and
      Cabrera De Castro, Isabel  and
      Montejo R{\'a}ez, Arturo  and
      Mart{\'\i}n Valdivia, Mar{\'\i}a Teresa",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italy",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.326",
    pages = "3677--3688",
    abstract = "This paper describes the automated generation of CounterNarratives (CNs) for Hate Speech (HS) in Spanish using GPT-based models. Our primary objective is to evaluate the performance of these models in comparison to human capabilities. For this purpose, the English CONAN Multitarget corpus is taken as a starting point and we use the DeepL API to automatically translate into Spanish. Two GPT-based models, GPT-3 and GPT-4, are applied to the HS segment through a few-shot prompting strategy to generate a new CN. As a consequence of our research, we have created a high quality corpus in Spanish

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dataset_licence({ "id": "SINAI/CONAN-MT-SP" })
signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0