Papers with detecting cyberbullying in monolingual languages

1 papers
GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection (2023.emnlp-main)

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Challenge: a significant gap exists in understanding code-mixed languages and the need for explainability in this context.
Approach: They propose to annotate posts with four labels to identify bullies in code-mixed languages . they propose to use a generative framework to reimagine the multitask problem as a text-to-text generation task.
Outcome: The proposed model outperforms baseline models and state-of-the-art models on the BullyExplain dataset.

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