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Found 5 papers, 1 papers with code
Generalisability of Topic Models in Cross-corpora Abusive Language Detection
Rapidly changing social media content calls for robust and generalisable abuse detection models.
Unsupervised Domain Adaptation in Cross-corpora Abusive Language Detection
The state-of-the-art abusive language detection models report great in-corpus performance, but underperform when evaluated on abusive comments that differ from the training scenario.
Transferring Knowledge via Neighborhood-Aware Optimal Transport for Low-Resource Hate Speech Detection
The concerning rise of hateful content on online platforms has increased the attention towards automatic hate speech detection, commonly formulated as a supervised classification task.
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection
State-of-the-art approaches for hate-speech detection usually exhibit poor performance in out-of-domain settings.
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection
In this paper, we propose to automatically identify and reduce spurious correlations using attribution methods with dynamic refinement of the list of terms that need to be regularized during training.
