---
title: "Workshop on Gender Bias in Natural Language Processing 2022"
description: "All 28 papers of Workshop on Gender Bias in Natural Language Processing 2022, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/gebnlp/2022/papers/"
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# Workshop on Gender Bias in Natural Language Processing 2022: all accepted papers

28 papers · the most cited first · [← Workshop on Gender Bias in Natural Language Processing 2022](https://md.research.elamur.ai/free/en/venues/gebnlp/2022/)

1. **[Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models ↗](https://aclanthology.org/2022.gebnlp-1.10/)**Tejas Srinivasan, Yonatan Bisk*31 citations*
2. **[Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task ↗](https://aclanthology.org/2022.gebnlp-1.20/)**Sophie Jentzsch, Cigdem Turan*29 citations*
3. **[Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements ↗](https://aclanthology.org/2022.gebnlp-1.22/)**Conrad Borchers, Dalia Gala, Benjamin Gilburt et al.*24 citations*
4. **[Choose Your Lenses: Flaws in Gender Bias Evaluation ↗](https://aclanthology.org/2022.gebnlp-1.17/)**Hadas Orgad, Yonatan Belinkov*18 citations*
5. **[Challenges in Measuring Bias via Open-Ended Language Generation ↗](https://aclanthology.org/2022.gebnlp-1.9/)**Afra Feyza Akyürek, Muhammed Yusuf Kocyigit, Sejin Paik et al.*17 citations*
6. **[Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias ↗](https://aclanthology.org/2022.gebnlp-1.13/)**Yarden Tal, Inbal Magar, Roy Schwartz*15 citations*
7. **[Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT ↗](https://aclanthology.org/2022.gebnlp-1.27/)**Jaimeen Ahn, Hwaran Lee, Jinhwa Kim et al.*15 citations*
8. **[Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning ↗](https://aclanthology.org/2022.gebnlp-1.6/)**Przemyslaw Joniak, Akiko Aizawa*12 citations*
9. **[Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring ↗](https://aclanthology.org/2022.gebnlp-1.7/)**Prasanna Parasurama, João Sedoc*12 citations*
10. **[Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information ↗](https://aclanthology.org/2022.gebnlp-1.3/)**Tomasz Limisiewicz, David Mareček*11 citations*
11. **[Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes ↗](https://aclanthology.org/2022.gebnlp-1.1/)**Antonis Maronikolakis, Philip Baader, Hinrich Schütze*9 citations*
12. **[Occupational Biases in Norwegian and Multilingual Language Models ↗](https://aclanthology.org/2022.gebnlp-1.21/)**Samia Touileb, Lilja Øvrelid, Erik Velldal*9 citations*
13. **[The Birth of Bias: A case study on the evolution of gender bias in an English language model](https://md.research.elamur.ai/free/en/papers/wal-2022-birth-bias-case-study-evolution/)**Oskar Van Der Wal, Jaap Jumelet, Katrin Schulz et al.*8 citations · our summary*
14. **[Mitigating Gender Stereotypes in Hindi and Marathi ↗](https://aclanthology.org/2022.gebnlp-1.16/)**Neeraja Kirtane, Tanvi Anand*7 citations*
15. **[Uncertainty and Inclusivity in Gender Bias Annotation: An Annotation Taxonomy and Annotated Datasets of British English Text](https://md.research.elamur.ai/free/en/papers/havens-2022-uncertainty-inclusivity-gender-bias-annotation/)**Lucy Havens, Melissa Terras, Benjamin Bach et al.*7 citations · our summary*
16. **[An Empirical Study on the Fairness of Pre-trained Word Embeddings ↗](https://aclanthology.org/2022.gebnlp-1.15/)**Emeralda Sesari, Max Hort, Federica Sarro*6 citations*
17. **[Unsupervised Mitigating Gender Bias by Character Components: A Case Study of Chinese Word Embedding ↗](https://aclanthology.org/2022.gebnlp-1.14/)**Xiuying Chen, Mingzhe Li, Rui Yan et al.*6 citations*
18. **[A Taxonomy of Bias-Causing Ambiguities in Machine Translation ↗](https://aclanthology.org/2022.gebnlp-1.18/)**Michal Měchura*5 citations*
19. **[Indigenous Language Revitalization and the Dilemma of Gender Bias ↗](https://aclanthology.org/2022.gebnlp-1.25/)**Oussama Hansal, Ngoc Tan Le, Fatiha Sadat*5 citations*
20. **[Debiasing Neural Retrieval via In-batch Balancing Regularization ↗](https://aclanthology.org/2022.gebnlp-1.5/)**Yuantong Li, Xiaokai Wei, Zijian Wang et al.*4 citations*
21. **[Analysis of Gender Bias in Social Perception and Judgement Using Chinese Word Embeddings ↗](https://aclanthology.org/2022.gebnlp-1.2/)**Jiali Li, Shucheng Zhu, Ying Liu et al.*3 citations*
22. **[Evaluating Gender Bias Transfer from Film Data ↗](https://aclanthology.org/2022.gebnlp-1.24/)**Amanda Bertsch, Ashley Oh, Sanika Natu et al.*3 citations*
23. **[Incorporating Subjectivity into Gendered Ambiguous Pronoun (GAP) Resolution using Style Transfer ↗](https://aclanthology.org/2022.gebnlp-1.28/)**Kartikey Pant, Tanvi Dadu*3 citations*
24. **[What changed? Investigating Debiasing Methods using Causal Mediation Analysis ↗](https://aclanthology.org/2022.gebnlp-1.26/)**Sullam Jeoung, Jana Diesner*3 citations*
25. **[Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback ↗](https://aclanthology.org/2022.gebnlp-1.11/)**Emmy Liu, Michael Henry Tessler, Nicole Dubosh et al.*2 citations*
26. **[HeteroCorpus: A Corpus for Heteronormative Language Detection ↗](https://aclanthology.org/2022.gebnlp-1.23/)**Juan Vásquez, Gemma Bel-Enguix, Scott Thomas Andersen et al.*2 citations*
27. **[On Gender Biases in Offensive Language Classification Models ↗](https://aclanthology.org/2022.gebnlp-1.19/)**Sanjana Marcé, Adam Poliak*1 citation*
28. **[On the Dynamics of Gender Learning in Speech Translation ↗](https://aclanthology.org/2022.gebnlp-1.12/)**Beatrice Savoldi, Marco Gaido, Luisa Bentivogli et al.*1 citation*
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