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A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
9 references·5 citing·37 second hop
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces (2020)A General Framework for Implicit and Expl…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 Bias in Contextualized Word Embeddings (2019)Gender Bias in Contextualized…Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings (2019)Black is to Criminal as Cauca…Attenuating Bias in Word Vectors (2019)Attenuating Bias in Word Vect…Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors (2019)Are We Consistently Biased? M…Word embeddings quantify 100 years of gender and ethnic stereotypes (2018)Word embeddings quantify 100 …Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Distributional Structure (1954)Distributional StructureCHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models (2023)CHBias: Bias Evaluation and M…Multi-objective search for gender-fair and semantically correct word embeddings (2022)Multi-objective search for ge…OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings (2021)OSCaR: Orthogonal Subspace Co…Intrinsic Bias Metrics Do Not Correlate with Application Bias (2021)Intrinsic Bias Metrics Do Not…AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings (2020)AraWEAT: Multidimensional Ana…Semantics. An Introduction to the Science of Meaning (1963)Mapping the Language of Racism: Discourse and the Legitimation of Exploitation (1993)AI can be sexist and racist — it’s time to make it fair (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Out of One, Many: Using Language Models to Simulate Human Samples (2023)Measuring individual differences in implicit cognition: The implicit association test. (1998)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)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)Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)MABEL: Attenuating Gender Bias using Textual Entailment Data (2022)Socially Aware Bias Measurements for Hindi Language Representations (2022)Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions (2023)Theories of Lexical Semantics (2009)Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change (2016)Measuring Corporate Culture Using Machine Learning (2020)Debiasing Career Recommendations with Neural Fair Collaborative Filtering (2021)Sustainable Modular Debiasing of Language Models (2021)Age-related bias and artificial intelligence: a scoping review (2023)Gender Bias in Neural Natural Language Processing (2020)Five sources of bias in natural language processing (2021)Trustworthy AI: A Computational Perspective (2022)Towards Debiasing Sentence Representations (2020)Re-imagining Algorithmic Fairness in India and Beyond (2021)Dictionary-based Debiasing of Pre-trained Word Embeddings (2021)Pipelines for Social Bias Testing of Large Language Models (2022)The Machines Take Over: A Comparison of Various Supervised Learning Approaches for Automated Scoring of Divergent Thinking Tasks (2022)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)A Review on Fairness in Machine Learning (2022)Bias and Fairness in Large Language Models: A Survey (2024)
this work references cited by second hop

References

  • 1954Distributional Structure4,806 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2018Word embeddings quantify 100 years of gender and ethnic stereotypes1,064 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2019Gender Bias in Contextualized Word Embeddings334 cited
  • 2019Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings262 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them242 cited
  • 2019Attenuating Bias in Word Vectors99 cited
  • 2019Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors52 cited

Cited by

  • 2021OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings33 cited
  • 2022Multi-objective search for gender-fair and semantically correct word embeddings22 cited
  • 2020AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings19 cited
  • 2021Intrinsic Bias Metrics Do Not Correlate with Application Bias17 cited
  • 2023CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models14 cited

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