SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Understanding Undesirable Word Embedding Associations
4 references·16 citing·37 second hop
Understanding Undesirable Word Embedding Associations (2019)Understanding Undesirable Word Embedding …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 …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…What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT (2024)What’s in a Name? Experimenta…Large scale analysis of gender bias and sexism in song lyrics (2023)Large scale analysis of gende…Fairness in Language Models Beyond English: Gaps and Challenges (2023)Fairness in Language Models B…Unmasking the Mask – Evaluating Social Biases in Masked Language Models (2022)Unmasking the Mask – Evaluati…MABEL: Attenuating Gender Bias using Textual Entailment Data (2022)MABEL: Attenuating Gender Bia…Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers (2021)Towards a Comprehensive Under…RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models (2021)RedditBias: A Real-World Reso…Dictionary-based Debiasing of Pre-trained Word Embeddings (2021)Dictionary-based Debiasing of…Bad Seeds: Evaluating Lexical Methods for Bias Measurement (2021)Bad Seeds: Evaluating Lexical…When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People? (2020)When do Word Embeddings Accur…WEFE: The Word Embeddings Fairness Evaluation Framework (2020)WEFE: The Word Embeddings Fai…Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings (2020)Nurse is Closer to Woman than…Extensive study on the underlying gender bias in contextualized word embeddings (2020)Extensive study on the underl…Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation (2020)Double-Hard Debias: Tailoring…Examining Gender Bias in Languages with Grammatical Gender (2019)Examining Gender Bias in Lang…Examining Gender Bias in Languages with Grammatical Gender (2019)Examining Gender Bias in Lang…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)Evaluating the Underlying Gender Bias in Contextualized Word Embeddings (2019)Identifying and Reducing Gender Bias in Word-Level Language Models (2019)Gender Bias in Machine Translation (2021)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation (2022)Dbias: detecting biases and ensuring fairness in news articles (2022)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models (2022)Gender bias in transformers: A comprehensive review of detection and mitigation strategies (2023)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)StereoSet: Measuring stereotypical bias in pretrained language models (2021)Sustainable Modular Debiasing of Language Models (2021)Quantifying and alleviating political bias in language models (2022)Fairness in Large Language Models: A Taxonomic Survey (2024)Measuring individual differences in implicit cognition: The implicit association test. (1998)Model Cards for Model Reporting (2019)WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings (2021)Choose Your Lenses: Flaws in Gender Bias Evaluation (2022)Socially Aware Bias Measurements for Hindi Language Representations (2022)The Ambivalent Sexism Inventory: Differentiating hostile and benevolent sexism. (1996)Science faculty’s subtle gender biases favor male students (2012)Stereotypical bias amplification and reversal in an experimental model of human interaction with generative artificial intelligence (2025)Gendering algorithms in social media (2021)On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning (2021)You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings (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)
this work references cited by second hop

References

  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them242 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them144 cited

Cited by

  • 2021RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models107 cited
  • 2019Examining Gender Bias in Languages with Grammatical Gender77 cited
  • 2024What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT55 cited
  • 2021Bad Seeds: Evaluating Lexical Methods for Bias Measurement50 cited
  • 2022Unmasking the Mask – Evaluating Social Biases in Masked Language Models48 cited
  • 2021Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers44 cited
  • 2020Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation44 cited
  • 2023Fairness in Language Models Beyond English: Gaps and Challenges37 cited
  • 2020Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings35 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2020
WEFE: The Word Embeddings Fairness Evaluation Framework
33 cited
  • 2021Dictionary-based Debiasing of Pre-trained Word Embeddings30 cited
  • 2020When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?26 cited
  • 2023Large scale analysis of gender bias and sexism in song lyrics26 cited
  • 2020Extensive study on the underlying gender bias in contextualized word embeddings25 cited
  • 2022MABEL: Attenuating Gender Bias using Textual Entailment Data20 cited
  • 2019Examining Gender Bias in Languages with Grammatical Gender20 cited