Papers with transformer-based HAP-classification model
Muted: Multilingual Targeted Offensive Speech Identification and Visualization (2023.emnlp-demo)
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Christoph Tillmann, Aashka Trivedi, Sara Rosenthal, Santosh Borse, Rong Zhang, Avirup Sil, Bishwaranjan Bhattacharjee
| Challenge: | Existing visualizations of offensive language use only sentence level annotations, but there are few that explore spans and other languages. |
| Approach: | They propose a system to identify multilingual HAP content by displaying offensive arguments and their targets using heat maps to indicate their intensity. |
| Outcome: | The proposed model can identify toxic spans without further fine-tuning using existing models and its attention mechanism out-of-the-box. |