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Papers
Assessing the Reliability of Word Embedding Gender Bias Measures
EMNLP 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
NeurIPS 2021
Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models
IJCAI 2021
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
EMNLP 2021
Debiasing Pre-trained Contextualised Embeddings
EACL 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings
EACL 2021
Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing
EACL 2021
Evaluating Gender Bias in Hindi-English Machine Translation
ACL 2021
Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives
EMNLP 2021
Gender and Representation Bias in GPT-3 Generated Stories
NAACL 2021
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation
ACL 2021
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
ACL 2021
Gender Bias in Natural Language Processing Across Human Languages
NAACL 2021
Gender Bias in Text: Origin, Taxonomy, and Implications
ACL 2021
Generating Gender Augmented Data for NLP
ACL 2021
GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation
EMNLP 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
EMNLP 2021
HONEST: Measuring Hurtful Sentence Completion in Language Models
NAACL 2021
Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on Librispeech
ACL 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
EMNLP 2021
Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia
ACL 2021
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
EMNLP 2021
Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution
ACL 2021
Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts
ACL 2021
StereoSet: Measuring stereotypical bias in pretrained language models
ACL 2021