This automatically-generated file contains references from the main union bibliography that have been filtered for a single tag. Do not edit this file; instead, please update the main bibliography and tag references appropriately to have them show up here. Thank you!
The papers are listed in the same order as the main bibliography; e.g., by year of publication / release; then by surname / name of the first author.
- Nejadgholi, I., Kiritchenko, S., Fraser, K.C., Balkir, E. (2023) Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers. In Proceedings of the 7th Workshop on Online Abuse and Harms (WOAH), pages 138–149, Toronto, Canada. Association for Computational Linguistics. [paper]
- Nejadgholi, I., Balkir, E., Fraser, K.C., Kiritchenko, S. (2022) Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information.In Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pages 225–237, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics. [paper]
- Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021, March). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?🦜. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610-623). doi:10.1145/3442188.3445922 [paper]
- Field, A., Blodgett, S. L., Talat, Z., & Tsvetkov, Y. (2021, August). A Survey of Race, Racism, and Anti-Racism in NLP. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1905–1925, Online. Association for Computational Linguistics. doi:10.18653/v1/2021.acl-long.149 [paper]
- Floridi, L., Chiriatti, M. GPT-3: Its Nature, Scope, Limits, and Consequences. Minds & Machines 30, 681–694 (2020). https://doi.org/10.1007/s11023-020-09548-1 [paper]
