bias measurement

Assessing the Reliability of Word Embedding Gender Bias Measures EMNLP 2021 Bad Seeds: Evaluating Lexical Methods for Bias Measurement ACL 2021 Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking EMNLP 2021 Constructing a Psychometric Testbed for Fair Natural Language Processing EMNLP 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 Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use? NAACL 2021 CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models EMNLP 2020 Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds ACL 2020 Measuring the Effects of Bias in Training Data for Literary Classification COLING 2020 Evaluating the Underlying Gender Bias in Contextualized Word Embeddings ACL 2019 Understanding Undesirable Word Embedding Associations ACL 2019