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@@ -34,4 +34,4 @@ I also find the paper's idea of data perspectivism interesting as it argues that
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Although, we are not leveraging the annotator's information in this model, I encourage you to explore the dataset and maybe leverage the annotator's information to make variations of this classifier.
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Here I made a Hate Speech MultiLabel Classifier by doing transfer learning on [BERT](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech) with the [UC Berkeley D-Lab's Hate Speech Dataset](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech) from the paper [The Measuring Hate Speech Corpus: Leveraging Rasch Measurement Theory for Data Perspectivism](https://aclanthology.org/2022.nlperspectives-1.11.pdf).
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Although, we are not leveraging the annotator's information in this model, I encourage you to explore the dataset and maybe leverage the annotator's information to make variations of this classifier.
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Here I made a Hate Speech MultiLabel Classifier to classify independent targets of race, religion, origin, gender, sexuality, age, disability by doing transfer learning on [BERT](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech) with the [UC Berkeley D-Lab's Hate Speech Dataset](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech) from the paper [The Measuring Hate Speech Corpus: Leveraging Rasch Measurement Theory for Data Perspectivism](https://aclanthology.org/2022.nlperspectives-1.11.pdf).
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