@inproceedings{inacio-etal-2024-puntuguese,
    title = "Puntuguese: A Corpus of Puns in {P}ortuguese with Micro-edits",
    author = "Inacio, Marcio Lima  and
      Wick-Pedro, Gabriela  and
      Ramisch, Renata  and
      Esp{\'\i}rito Santo, Lu{\'\i}s  and
      Chacon, Xiomara S. Q.  and
      Santos, Roney  and
      Sousa, Rog{\'e}rio  and
      Anchi{\^e}ta, Rafael  and
      Goncalo Oliveira, Hugo",
    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, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.1167",
    pages = "13332--13343",
    abstract = "Humor is an intricate part of verbal communication and dealing with this kind of phenomenon is essential to building systems that can process language at large with all of its complexities. In this paper, we introduce Puntuguese, a new corpus of punning humor in Portuguese, motivated by previous works showing that currently available corpora for this language are still unfit for Machine Learning due to data leakage. Puntuguese comprises 4,903 manually-gathered punning one-liners in Brazilian and European Portuguese. To create negative examples that differ exclusively in terms of funniness, we carried out a micro-editing process, in which all jokes were edited by fluent Portuguese speakers to make the texts unfunny. Finally, we did some experiments on Humor Recognition, showing that Puntuguese is considerably more difficult than the previous corpus, achieving an F1-Score of 68.9{\%}. With this new dataset, we hope to enable research not only in NLP but also in other fields that are interested in studying humor; thus, the data is publicly available.",
}

Humor is an intricate part of verbal communication and dealing with this kind of phenomenon is essential to building systems that can process language at large with all of its complexities. In this paper, we introduce Puntuguese, a new corpus of punning humor in Portuguese, motivated by previous works showing that currently available corpora for this language are still unfit for Machine Learning due to data leakage. Puntuguese comprises 4,903 manually-gathered punning one-liners in Brazilian and European Portuguese. To create negative examples that differ exclusively in terms of funniness, we carried out a micro-editing process, in which all jokes were edited by fluent Portuguese speakers to make the texts unfunny. Finally, we did some experiments on Humor Recognition, showing that Puntuguese is considerably more difficult than the previous corpus, achieving an F1-Score of 68.9{\%}. With this new dataset, we hope to enable research not only in NLP but also in other fields that are interested in studying humor; thus, the data is publicly available.
Inacio, Marcio Lima Wick-Pedro, Gabriela Ramisch, Renata Esp{\'\i}rito Santo, Lu{\'\i}s Chacon, Xiomara S. Q. Santos, Roney Sousa, Rog{\'e}rio Anchi{\^e}ta, Rafael Goncalo Oliveira, Hugo
Puntuguese: A Corpus of Puns in Portuguese with Micro-edits