Puntuguese is a corpus of punning texts in Portuguese, including jokes in Brazilian and European Portuguese. The data has been manually gathered and curate according to our guidelines. It also contains some layers of annotation:
- Every pun is classified as homophonic, homographic, both, or none according to their specific punning signs;
- The punning and alternative signs were made explicit for every joke;
- We also mark potentially problematic puns from an ethical perspective, so it is easier to filter them out if needed.
Additionally, every joke in the corpus has a non-humorous counterpart, obtained via micro-editing, to enable Machine Learning systems to be trained.
The dataset is also available in the Hugging Face Hub.
The general statistics of the corpus are:
| Language variety | Number of puns |
|---|---|
| Brazilian Portuguese | 4,106 |
| European Portuguese | 797 |
| Total | 4,903 |
Regarding the pun types, the statistics are:
| Type of pun | Quantity |
|---|---|
| Only homophonic | 953 |
| Only homographic | 10 |
| Both homophonic and homographic | 672 |
| Not homophonic nor homographic | 3,352 |
| Problematic jokes | 106 |
This repository contains all the data and experiments for the Puntuguese corpus of puns in Portuguese. The repository is organized as follows:
Puntuguese
├───data [Corpus and annotation files]
├───experiments [Scripts for Humor Recognition and Clustering analysis]
├───gathering [Corpus creation interface]
├───humicroedit [Pun editing interface]
├───results [Humor Recognition results]
└───utils [Utility scripts]
Each subfolder contains its own README file with general instructions on how to run the interfaces or annotation guidelines.
@inproceedings{InacioEtAl2024,
title = "Puntuguese: A Corpus of Puns in {P}ortuguese with Micro-edits",
author = "In{\'a}cio, 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.",
}