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GeBNLP - 2022
Total Papers:- 29
Total Papers accross all years:- 82
Total Citations :- 0
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What changed? Investigating Debiasing Methods using Causal Mediation Analysis
Sullam Jeoung |
Jana Diesner |
Unsupervised Mitigating Gender Bias by Character Components: A Case Study of Chinese Word Embedding
Xiuying Chen |
Mingzhe Li |
Rui Yan |
Xin Gao |
Xiangliang Zhang |
Debiasing Neural Retrieval via In-batch Balancing Regularization
Yuantong Li |
Xiaokai Wei |
Zijian Wang |
Shen Wang |
Parminder Bhatia |
Xiaofei Ma |
Andrew Arnold |
Indigenous Language Revitalization and the Dilemma of Gender Bias
Oussama Hansal |
Ngoc Tan Le |
Fatiha Sadat |
Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias
Yarden Tal |
Inbal Magar |
Roy Schwartz |
Evaluating Gender Bias Transfer from Film Data
Amanda Bertsch |
Ashley Oh |
Sanika Natu |
Swetha Gangu |
Alan W. Black |
Emma Strubell |
HeteroCorpus: A Corpus for Heteronormative Language Detection
Juan Vásquez |
Gemma Bel-Enguix |
Scott Andersen |
Sergio-Luis Ojeda-Trueba |
Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
Sophie Jentzsch |
Cigdem Turan |
Challenges in Measuring Bias via Open-Ended Language Generation
Afra Feyza Akyürek |
Muhammed Yusuf Kocyigit |
Sejin Paik |
Derry Tanti Wijaya |
Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes
Antonis Maronikolakis |
Philip Baader |
Hinrich Schütze |
Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback
Emmy Liu |
Michael Henry Tessler |
Nicole Dubosh |
Katherine Hiller |
Roger Levy |
An Empirical Study on the Fairness of Pre-trained Word Embeddings
Emeralda Sesari |
Max Hort |
Federica Sarro |
A Taxonomy of Bias-Causing Ambiguities in Machine Translation
Michal Měchura |
Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring
Prasanna Parasurama |
João Sedoc |
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