HateCheck: functional tests for hate speech detection models
Detecting online hate is a difficult task that even state-of-the-art models struggle with. Typically, hate speech detection models are evaluated by measuring their performance on held-out test data using metrics such as accuracy and F1 score. However, this approach makes it difficult to identify spe...
| Autores principales: | , , , , , |
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| Formato: | Conference item |
| Lenguaje: | English |
| Publicado: |
Association for Computational Linguistics
2021
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