SlowGuess/ACL_2020_OCR huggingface dataset:
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Hemant Purohit, Tanvi Banerjee, Andrew Hampton, Valerie L. Shalin, Nayanesh Bhandutia, and Amit P. Sheth. 2016. Gender-Based Violence in 140 characters or Fewer: A #BigData Case Study of Twitter. First Monday, 21(1).
Nicolas Schrading, Cecilia Ovesdotter Alm, Ray Ptucha, and Christopher Homan. 2015. An Analysis of Domestic Abuse Discourse on Reddit. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 2577-2583.
Sima Sharifirad, Borna Jafarpour, and Stan Matwin. 2018. Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs. In Proceedings of the Second Workshop on Abusive Language Online.
Abhishek Singh, Eduardo Blanco, and Wei Jin. 2019. Incorporating Emoji Descriptions Improves Tweet Classification. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 2096-2101.
Jeremy Waldron. 2012. The harm in hate speech. Harvard University Press.
Zeerak Waseem, Thomas Davidson, Dana Warmsley, and Ingmar Weber. 2017. Understanding Abuse: A Typology of Abusive Language Detection Subtasks. In Proceedings of the First Workshop on Abusive Language Online.
Zeerak Waseem and Dirk Hovy. 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.
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R'emi Louf, Morgan Funtowicz, and Jamie Brew. 2019. HuggingFace's Transformers: State-of-the-art Natural Language Processing. ArXiv, abs/1910.03771.
Ziqi Zhang and Lei Luo. 2018. Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter. arXiv preprint arXiv:1803.03662.
Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, and Kai-Wei Chang. 2018. Learning Gender-Neutral Word Embeddings. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 4847-4853.
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