Papers with cross-lingual abusive language detection

1 papers
Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection (2023.emnlp-main)

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Challenge: Existing methods for few-shot cross-lingual transfer learning are limited in target languages due to the scarcity of resources.
Approach: They propose a method which interpolates pairs of instances based on the angle of their representations and propose augmentation methods to enhance few-shot cross-lingual abusive language detection.
Outcome: The proposed method improves few-shot cross-lingual abusive language detection in seven languages typologically distinct from English and three different domains.

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