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Hate Speech Detection On Ethos Binary

Métriques

Classification Accuracy

F1-score

Precision

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Classification Accuracy	F1-score	Precision	Paper Title	Repository
Random Forests	0.6504	0.6441	64.69	ETHOS: an Online Hate Speech Detection Dataset
OPT-175B (one-shot)	-	0.713	-	OPT: Open Pre-trained Transformer Language Models
BiLSTM+Attention+FT	0.7734	0.768	77.76	ETHOS: an Online Hate Speech Detection Dataset
BERT	0.7664	0.7883	79.17	ETHOS: an Online Hate Speech Detection Dataset
OPT-175B (zero-shot)	-	0.667	-	OPT: Open Pre-trained Transformer Language Models
BiLSTM + static BE	0.8015	0.7971	0.8037	Hate speech detection using static BERT embeddings	-
Davinci (few-shot)	-	0.354	-	OPT: Open Pre-trained Transformer Language Models
SVM	0.6643	0.6607	66.47	ETHOS: an Online Hate Speech Detection Dataset
OPT-175B (few-shot)	-	0.759	-	OPT: Open Pre-trained Transformer Language Models
Davinci (one-shot)	-	0.616	-	OPT: Open Pre-trained Transformer Language Models
Davinci (zero-shot)	-	0.628	-	OPT: Open Pre-trained Transformer Language Models
CNN+Attention+FT+GV	0.7515	0.7441	74.92	ETHOS: an Online Hate Speech Detection Dataset

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