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Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
10 references·5 citing·33 second hop
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation (2020)Double-Hard Debias: Tailoring Word Embedd…Understanding Undesirable Word Embedding Associations (2019)Understanding Undesirable Wor…Measuring Bias in Contextualized Word Representations (2019)Measuring Bias in Contextuali…Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them (2019)Lipstick on a Pig: Debiasing …Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them (2019)Lipstick on a Pig: Debiasing …Gender-preserving Debiasing for Pre-trained Word Embeddings (2019)Gender-preserving Debiasing f…Gender Bias in Contextualized Word Embeddings (2019)Gender Bias in Contextualized…Evaluating the Underlying Gender Bias in Contextualized Word Embeddings (2019)Evaluating the Underlying Gen…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Category norms of verbal items in 56 categories A replication and extension of the Connecticut category norms. (1969)Category norms of verbal item…Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving (2022)Word Embeddings via Causal In…Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation (2022)Balancing Gender Bias in Job …WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings (2021)WordBias: An Interactive Visu…Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack (2021)Dynamically Disentangling Soc…Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations (2020)Monolingual and Multilingual …Fairness through awareness (2012)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)A Survey on Bias and Fairness in Machine Learning (2021)Measuring individual differences in implicit cognition: The implicit association test. (1998)Dissecting racial bias in an algorithm used to manage the health of populations (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Mitigating Unwanted Biases with Adversarial Learning (2018)Identifying and Reducing Gender Bias in Word-Level Language Models (2019)Gender Bias in Machine Translation (2021)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Gender Bias in Neural Natural Language Processing (2020)Five sources of bias in natural language processing (2021)Trustworthy AI: A Computational Perspective (2022)Measuring individual differences in implicit cognition: The implicit association test. (1998)Counterfactual Inference for Text Classification Debiasing (2021)FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders (2021)Fairness in Deep Learning: A Survey on Vision and Language Research (2023)Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems (2018)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Towards Debiasing Sentence Representations (2020)Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases (2021)Toxicity in chatgpt: Analyzing persona-assigned language models (2023)The language-as-fixed-effect fallacy: A critique of language statistics in psychological research (1973)Working memory, short-term memory, and general fluid intelligence: A latent-variable approach. (1999)Examining Gender Bias in Languages with Grammatical Gender (2019)RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models (2021)What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT (2024)Social Biases in NLP Models as Barriers for Persons with Disabilities (2020)Large pre-trained language models contain human-like biases of what is right and wrong to do (2022)It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution (2019)Investigating Gender Bias in Language Models Using Causal Mediation Analysis (2020)
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References

  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 1969Category norms of verbal items in 56 categories A replication and extension of the Connecticut category norms.2,570 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2019Measuring Bias in Contextualized Word Representations348 cited
  • 2019Gender Bias in Contextualized Word Embeddings334 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them242 cited
  • 2019Evaluating the Underlying Gender Bias in Contextualized Word Embeddings190 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them144 cited
  • 2019Gender-preserving Debiasing for Pre-trained Word Embeddings113 cited
  • 2019Understanding Undesirable Word Embedding Associations110 cited

Cited by

  • 2022Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving29 cited
  • 2020Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations29 cited
  • 2021WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings23 cited
  • 2021

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Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack
19 cited
  • 2022Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation16 cited