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README.md
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A monolingual model for hate speech classification of social media content in English language. The model was trained on 103190 YouTube comments and tested on an independent test set of 20554 YouTube comments. It is based on English BERT base pre-trained language model.
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## Details on data acquisition and labeling including the Annotation guidelines
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http://imsypp.ijs.si/wp-content/uploads/2021/12/IMSyPP_D2.2_multilingual-dataset.pdf
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## Please cite:
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Kralj Novak, P., Scantamburlo, T., Pelicon, A., Cinelli, M., Mozetič, I., & Zollo, F. (2022, July). Handling disagreement in hate speech modelling. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 681-695). Cham: Springer International Publishing.
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https://link.springer.com/chapter/10.1007/978-3-031-08974-9_54
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* 2 - offensive
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* 3 - violent
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A monolingual model for hate speech classification of social media content in English language. The model was trained on 103190 YouTube comments and tested on an independent test set of 20554 YouTube comments. It is based on English BERT base pre-trained language model.
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## Please cite:
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Kralj Novak, P., Scantamburlo, T., Pelicon, A., Cinelli, M., Mozetič, I., & Zollo, F. (2022, July). Handling disagreement in hate speech modelling. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 681-695). Cham: Springer International Publishing.
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https://link.springer.com/chapter/10.1007/978-3-031-08974-9_54
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* 2 - offensive
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* 3 - violent
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* Details on data acquisition and labeling including the Annotation guidelines:
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http://imsypp.ijs.si/wp-content/uploads/2021/12/IMSyPP_D2.2_multilingual-dataset.pdf
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