Classification of toxic, engaging, fact-claiming comments
1 papers with code • 1 benchmarks • 2 datasets
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Most implemented papers
FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning
The availability of language representations learned by large pretrained neural network models (such as BERT and ELECTRA) has led to improvements in many downstream Natural Language Processing tasks in recent years.