GroNLP, University of Groningen

HateBERT

BERT retrained on banned Reddit communities for abusive language detection.

Text and language analysis

Repository

About HateBERT

The HateBERT repository on GitHub is listed under the account tommasoc80. This GitHub repository is a mirror for HateBERT.

The retrained model, the fine-tuned models, data, and code are available on an Open Science Fundation repository. The page also links to a paper about the work.

Drafted from github.com · not yet confirmed by HateBERT

How it works

HateBERT is a BERT model further pre trained on posts from banned Reddit communities, then fine tuned for offensive, abusive and hateful language detection. It's a research baseline that beats plain BERT on the standard hate speech datasets, and it's small enough to run anywhere. English only.

Reviews

Be the first to review it

Anonymous
Would you use it again?

Signed as your field and level, never your name.

Know a team weighing HateBERT? Send them this page.