gender bia

Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models EACL 2021 Sustainable Modular Debiasing of Language Models EMNLP 2021 The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets AAAI 2021 Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy EMNLP 2021 Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers NAACL 2021 Towards Equal Gender Representation in the Annotations of Toxic Language Detection ACL 2021 Towards Understanding the Role of Gender in Deploying Social Media-Based Mental Health Surveillance Models NAACL 2021 Uncovering Implicit Gender Bias in Narratives through Commonsense Inference EMNLP 2021 Using Gender- and Polarity-Informed Models to Investigate Bias ACL 2021 Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender EMNLP 2021 VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services AAAI 2021 A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations AAAI 2020 A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces AAAI 2020 Analyzing Gender Bias within Narrative Tropes EMNLP 2020 AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings COLING 2020 Automatically Identifying Gender Issues in Machine Translation using Perturbations EMNLP 2020 Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings COLING 2020 Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL 2020 Debiasing knowledge graph embeddings EMNLP 2020 Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation EMNLP 2020 Does Gender Matter? Towards Fairness in Dialogue Systems COLING 2020 Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation ACL 2020 Evaluating Bias In Dutch Word Embeddings COLING 2020 Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation EMNLP 2020 Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings EMNLP 2020