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Evaluating Gender Bias in Natural Language Inference
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Evaluating Gender Bias in Natural Language Inference (2021)Evaluating Gender Bias in Natural Languag…Towards Understanding Gender Bias in Relation Extraction (2020)Towards Understanding Gender …Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation (2020)Queens are Powerful too: Miti…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 …HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Understanding the Origins of Bias in Word Embeddings (2018)Understanding the Origins of …Ethical Challenges in Data-Driven Dialogue Systems (2018)Ethical Challenges in Data-Dr…Social Bias in Elicited Natural Language Inferences (2017)Social Bias in Elicited Natur…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…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)The Social Impact of Natural Language Processing (2016)Mitigating Demographic Bias in AI-based Resume Filtering (2020)A Survey of Race, Racism, and Anti-Racism in NLP (2021)Bad Seeds: Evaluating Lexical Methods for Bias Measurement (2021)Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs (2011)Agnostic Learning with Unknown Utilities (2016)Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial (2017)Societal Biases in Language Generation: Progress and Challenges (2021)In Conversation with Artificial Intelligence: Aligning language Models with Human Values (2023)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)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models (2022)“Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters (2023)Measuring nominal scale agreement among many raters. (1971)Bias in word embeddings (2020)Algorithmic fairness datasets: the story so far (2022)Algorithmic Fairness (2023)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)
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References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 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
  • 2018Ethical Challenges in Data-Driven Dialogue Systems170 cited
  • 2020Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation153 cited
  • 2018Understanding the Origins of Bias in Word Embeddings119 cited
  • 2017Social Bias in Elicited Natural Language Inferences98 cited
  • 2020Towards Understanding Gender Bias in Relation Extraction26 cited

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