Papers by Mariano Meglioli
MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector (2024.findings-acl)
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Marta Costa-jussà, Mariano Meglioli, Pierre Andrews, David Dale, Prangthip Hansanti, Elahe Kalbassi, Alexandre Mourachko, Christophe Ropers, Carleigh Wood
| Challenge: | Existing studies on text-based toxicity detection for other languages are limited, especially for languages other than English. |
| Approach: | They propose a multilingual audio-based toxicity classifier which covers 14 different linguistic families and a dataset of 20,000 audio utterances for English and Spanish. |
| Outcome: | The new classifier improves F1-Score by an average of 100% when compared to existing wordlist-based classifiers. |