Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection

Author:

Maity Krishanu,Balaji Gokulapriyan,Saha Sriparna

Publisher

Springer Nature Singapore

Reference27 articles.

1. Badjatiya, P., Gupta, S., Gupta, M., Varma, V.: Deep learning for hate speech detection in tweets. In: Proceedings of the 26th International Conference on World Wide Web Companion, pp. 759–760 (2017)

2. Davidson, T., Warmsley, D., Macy, M., Weber, I.: Automated hate speech detection and the problem of offensive language. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 11, pp. 512–515 (2017)

3. Dinakar, K., Reichart, R., Lieberman, H.: Modeling the detection of textual cyberbullying. In: 2011 Proceedings of the International Conference on Weblog and Social Media. Citeseer (2011)

4. Do, H.T.T., Huynh, H.D., Van Nguyen, K., Nguyen, N.L.T., Nguyen, A.G.T.: Hate speech detection on Vietnamese social media text using the bidirectional-LSTM model. arXiv preprint arXiv:1911.03648 (2019)

5. Fortuna, P., Bonavita, I., Nunes, S.: Merging datasets for hate speech classification in Italian. In: EVALITA@ CLiC-it (2018)

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