Author

Ådne Skjæveland

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ILA-POLAR at SemEval-2026 Task 9: Multi-label Polarization Classification with TwHIN-BERT and SCUT Threshold Optimization

This paper uses a fine-tuned TwHIN-BERT model, a multilingual encoder-based transformer pre-trained on social media data, to classify text across five polarization categories, suggesting that performance in such a multi-label polarization detection task is more strongly driven by local distributional properties than by...

Ilinca Vandici, Ådne Skjæveland, Lukas Viestädt · 0 citations