JIGSAW MULTILINGUAL TOXIC COMMENT CLASSIFICATION

By Shanmughapriya, Gowri. 2022

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Ahmet Üstün
2. Viraat Aryabumi
3. Niklas Muennighoff
4. Wei-Yin Ko
5. Julia Kreutzer
6. Daniel D'souza
7. Gbemileke Onilude
8. Shayne Longpre

Citations in the corpus

• Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model (2024, background): “For instance, Anil et al. (2023) evaluates PaLM2’s ability to classify between toxic and non-toxic text across six different languages using the multilingual Jigsaw dataset (Kivlichan et al., 2020).”
• MEGA: Multilingual Evaluation of Generative AI (2023, methodology): “We consider the multilingual Toxicity Prediction dataset Jigsaw(Kivlichan et al., 2020), and Wino-MT to measure Gender Bias in MT systems.”