📰 Workshop on Gender Bias in Natural Language Processing 2022 — accepted papers

Workshop on Gender Bias in Natural Language Processing 2022 is the 2022 edition of the Workshop on Gender Bias in Natural Language Processing, held in Seattle, Washington, July 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 28 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Seattle, Washington · 🗓 July 2022

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models ↗Tejas Srinivasan, Yonatan Bisk31 citations
2. Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task ↗Sophie Jentzsch, Cigdem Turan29 citations
3. Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements ↗Conrad Borchers, Dalia Gala, Benjamin Gilburt et al.24 citations
4. Choose Your Lenses: Flaws in Gender Bias Evaluation ↗Hadas Orgad, Yonatan Belinkov18 citations
5. Challenges in Measuring Bias via Open-Ended Language Generation ↗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 ↗Yarden Tal, Inbal Magar, Roy Schwartz15 citations
7. Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT ↗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 ↗Przemyslaw Joniak, Akiko Aizawa12 citations
9. Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring ↗Prasanna Parasurama, João Sedoc12 citations
10. Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information ↗Tomasz Limisiewicz, David Mareček11 citations

All accepted papers (28)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models ↗Tejas Srinivasan, Yonatan Bisk31 citations
2. Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task ↗Sophie Jentzsch, Cigdem Turan29 citations
3. Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements ↗Conrad Borchers, Dalia Gala, Benjamin Gilburt et al.24 citations
4. Choose Your Lenses: Flaws in Gender Bias Evaluation ↗Hadas Orgad, Yonatan Belinkov18 citations
5. Challenges in Measuring Bias via Open-Ended Language Generation ↗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 ↗Yarden Tal, Inbal Magar, Roy Schwartz15 citations
7. Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT ↗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 ↗Przemyslaw Joniak, Akiko Aizawa12 citations
9. Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring ↗Prasanna Parasurama, João Sedoc12 citations
10. Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information ↗Tomasz Limisiewicz, David Mareček11 citations
11. Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes ↗Antonis Maronikolakis, Philip Baader, Hinrich Schütze9 citations
12. Occupational Biases in Norwegian and Multilingual Language Models ↗Samia Touileb, Lilja Øvrelid, Erik Velldal9 citations
13. The Birth of Bias: A case study on the evolution of gender bias in an English language modelOskar Van Der Wal, Jaap Jumelet, Katrin Schulz et al.8 citations · our summary
14. Mitigating Gender Stereotypes in Hindi and Marathi ↗Neeraja Kirtane, Tanvi Anand7 citations
15. Uncertainty and Inclusivity in Gender Bias Annotation: An Annotation Taxonomy and Annotated Datasets of British English TextLucy Havens, Melissa Terras, Benjamin Bach et al.7 citations · our summary
16. An Empirical Study on the Fairness of Pre-trained Word Embeddings ↗Emeralda Sesari, Max Hort, Federica Sarro6 citations
17. Unsupervised Mitigating Gender Bias by Character Components: A Case Study of Chinese Word Embedding ↗Xiuying Chen, Mingzhe Li, Rui Yan et al.6 citations
18. A Taxonomy of Bias-Causing Ambiguities in Machine Translation ↗Michal Měchura5 citations
19. Indigenous Language Revitalization and the Dilemma of Gender Bias ↗Oussama Hansal, Ngoc Tan Le, Fatiha Sadat5 citations
20. Debiasing Neural Retrieval via In-batch Balancing Regularization ↗Yuantong Li, Xiaokai Wei, Zijian Wang et al.4 citations
21. Analysis of Gender Bias in Social Perception and Judgement Using Chinese Word Embeddings ↗Jiali Li, Shucheng Zhu, Ying Liu et al.3 citations
22. Evaluating Gender Bias Transfer from Film Data ↗Amanda Bertsch, Ashley Oh, Sanika Natu et al.3 citations
23. Incorporating Subjectivity into Gendered Ambiguous Pronoun (GAP) Resolution using Style Transfer ↗Kartikey Pant, Tanvi Dadu3 citations
24. What changed? Investigating Debiasing Methods using Causal Mediation Analysis ↗Sullam Jeoung, Jana Diesner3 citations
25. Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback ↗Emmy Liu, Michael Henry Tessler, Nicole Dubosh et al.2 citations

See all 28 papers in Workshop on Gender Bias in Natural Language Processing 2022 — accepted papers →

📄 Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. The Birth of Bias: A case study on the evolution of gender bias in an English language modelWorkshop on Gender Bias in Natural Language ProcessingOskar Van Der Wal, Jaap Jumelet, Katrin Schulz, et al.2022 · 19 citations
2. Uncertainty and Inclusivity in Gender Bias Annotation: An Annotation Taxonomy and Annotated Datasets of British English TextWorkshop on Gender Bias in Natural Language ProcessingLucy Havens, Melissa Terras, Benjamin Bach, et al.2022 · 14 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🛡️Bias, fairness & safety (2)English (2)🧠Language models & pretraining (1)

📚 Fields

🎭Arts and Humanities (2)🖥️Computer Science (2)🤝Social Sciences (2)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of AmsterdamAmsterdam · Netherlands1 work here🎓University of EdinburghEdinburgh · United Kingdom1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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