Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

Bertie Vidgen, Tristan Thrush, Zeerak Waseem, Douwe Kiela. Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection. In Chengqing Zong, Fei Xia, Wenjie Li 0002, Roberto Navigli, editors, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021. pages 1667-1682, Association for Computational Linguistics, 2021. [doi]

No reviews for this publication, yet.