3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in hate-speech-normalization-1
No benchmarks available.
Use these libraries to find hate-speech-normalization-1 models and implementations
No datasets available.
No subtasks available.
NACL, a simple yet efficient hate speech normalization model that operates in three stages - first, it measures the hate intensity of the original sample; second, it identifies the hate span(s) within it; and finally, it reduces hate intensity by paraphrasing the hate spans.
Adding a benchmark result helps the community track progress.