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English Information

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Authors
# Name
1 Vinícius Moitinho(vmoitinhoss@gmail.com)

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Reference
# Reference
1 Badjatiya, P., Gupta, S., Gupta, M., and Varma, V. (2017). Deep learning for hate speech detection in tweets. In Proceedings of the 26th International Conference on World Wide Web Companion, pages 759–760
2 Badri, N., Kboubi, F., and Chaibi, A. H. (2022). Combining fasttext and glove word embeddings for offensive and hate speech text detection. Procedia Computer Science, 207:769–778.
3 Chen, Y., Zhou, Y., Zhu, S., and Xu, H. (2012). Detecting offensive language in social media to protect adolescent online safety. In 2012 International Conference on Privacy, Security, Risk and Trust, pages 71–80. IEEE.
4 Dai, W., Li, W., Li, R., Ji, D., and Li, C. (2020). Kungfupanda at semeval-2020 task 12: Bert-based multi-task learning for offensive language detection. arXiv preprint arXiv:2004.13432.
5 Davidson, T., Warmsley, D., Macy, M., and Weber, I. (2017). Automated hate speech detection and the problem of offensive language. In Proceedings of the 11th International AAAI Conference on Web and Social Media (ICWSM), pages 512–515.
6 Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.
7 Fortuna, P. and Nunes, S. (2018). A survey on automatic detection of hate speech in text. ACM Computing Surveys, 51(4):1–30.
8 Haddad, D., Monteiro, R., and Gonçalves, T. (2021). Hatebr: An annotated corpus for hate speech detection in brazilian portuguese. In Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology (STIL).
9 Pelle, R. M. and Moreira, V. P. (2017). Offensive comments in the brazilian web: a dataset and analysis. In Proceedings of the 8th Brazilian Symposium on Information and Human Language Technology (STIL).
10 Sap, M., Card, D., Gabriel, S., Choi, Y., and Smith, N. A. (2019). The risk of racial bias in hate speech detection. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 1668–1678.
11 Schmidt, A. and Wiegand, M. (2017). A survey on hate speech detection using natural language processing. In Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, pages 1–10.
12 Talat, Z. and Hovy, D. (2016). Hateful symbols or hateful people? predictive features for hate speech detection on twitter. In Proceedings of the NAACL Student Research Workshop, pages 88–93.