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PAN_twitter_hate_speech_2021_ES_MT5

Text2Text Generation
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PyTorch
mt5
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##An MT5ForConditionalGeneration trained on 3 tasks from PAN Profiling Hate Speech Spreaders on Twitter dataset (ES):

  • topic attribution - topics were assigned with BertTopic library using embeddings from Hate-speech-CNERG/dehatebert-mono-spanish bert model (train and test sets from the PAN task)

  • hate speech identification (train set from the PAN task)

in order to generate tone of comment use prefix hater classification:

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