UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks

@inproceedings{Paetzold2019UTFPRAS,
  title={UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks},
  author={Gustavo Henrique Paetzold and Shervin Malmasi and Marcos Zampieri},
  booktitle={SemEval@NAACL-HLT},
  year={2019}
}
  • Gustavo Henrique Paetzold, Shervin Malmasi, Marcos Zampieri
  • Published in SemEval@NAACL-HLT 2019
  • Computer Science
  • In this paper we revisit the problem of automatically identifying hate speech in posts from social media. We approach the task using a system based on minimalistic compositional Recurrent Neural Networks (RNN). We tested our approach on the SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (HatEval) shared task dataset. The dataset made available by the HatEval organizers contained English and Spanish posts retrieved from Twitter annotated with… CONTINUE READING

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