Using Attention-based Bidirectional LSTM to Identify Different Categories of Offensive Language Directed Toward Female Celebrities

By Sima Sharifirad, Stan Matwin. 2019

7 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Douwe Kiela
2. Emily Dinan
3. Eric Michael Smith
4. Adina Williams
5. Jason Aaron Edward Weston
6. Kurt Shuster
7. Mohit Bansal
8. Yulia Tsvetkov

Citations in the corpus

• Multi-Dimensional Gender Bias Classification (2020, background): “2020), identification of offensive content (Sharifirad and Matwin, 2019; Sharifirad et al., 2019), and machine translation (Stanovsky et al.”
• A Survey of Race, Racism, and Anti-Racism in NLP (2021, background): “Bias Develop Model Xia et al. (2020) 2020 Workshop Abusive Language Debias Zhang et al. (2020) 2020 ACL Abusive Language Detect Bias Zhao and Chang (2020) 2020 EMNLP Ethics/Task-indep.”
• Theories of “Gender” in NLP Bias Research (2022, unknown): “1177/1741659016652445 [131] Sima Sharifirad and Stan Matwin.”