Who cites «It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution»
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citationsLanguage (Technology) is Power: A Critical Survey of “Bias” in NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al.2020 · 1,703 citationsBias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
- A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 937 citationsQueens are Powerful too: Mitigating Gender Bias in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Emily Dinan, Angela Fan, Adina Williams, et al.2020 · 266 citations
- Measuring and Reducing Gendered Correlations in Pre-trained ModelsarXiv:2010.06032Kellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 253 citationsDebiasing Pre-trained Contextualised EmbeddingsConference of the European Chapter of the Association for Computational Linguistics (EACL)Masahiro Kaneko, Danushka Bollegala2021 · 174 citationsSustainable Modular Debiasing of Language ModelsFindings of the Association for Computational LinguisticsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citationsDoes Gender Matter? Towards Fairness in Dialogue SystemsInternational Conference on Computational Linguistics (COLING)Haochen Liu, Jamell Dacon, Wenqi Fan, et al.2020 · 132 citationsQuantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness MetricsTransactions of the Association for Computational Linguistics (TACL)Paula Czarnowska, Yogarshi Vyas, Kashif Shah2021 · 131 citationsUnmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender BiasWorkshop on Gender Bias in Natural Language ProcessingMarion Bartl, Malvina Nissim, Albert Gatt2020 · 115 citationsThe Arabic Parallel Gender Corpus 2.0: Extensions and AnalysesLanguage Resources and Evaluation Conference (LREC)Bashar Alhafni, Nizar Habash, Houda Bouamor2022 · 21 citationsThe User-Aware Arabic Gender RewriterWorkshop on Gender-Inclusive Translation TechnologiesBashar Alhafni, Ossama Obeid, Nizar Habash2023 · 5 citations
This page in Markdown → https://md.research.elamur.ai/free/en/papers/maudslay-2019-it-s-all-name-mitigating/cited-by/