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 Deep Learning on a Healthy Data Diet: Finding Important Examples for
FairnessAAAI Conference on Artificial Intelligence (AAAI), 2022 |
 The Shared Task on Gender RewritingWorkshop on Arabic Natural Language Processing (WANLP), 2022 |
 SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense
Reasoning ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 |
 Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and
their Social Biases in Downstream TasksInternational Conference on Computational Linguistics (COLING), 2022 |
 Efficient Classification with Counterfactual Reasoning and Active
LearningAsian Conference on Intelligent Information and Database Systems (ACIIDS), 2022 |
 Theories of "Gender" in NLP Bias ResearchConference on Fairness, Accountability and Transparency (FAccT), 2022 |
 User-Centric Gender RewritingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
 Text Transformations in Contrastive Self-Supervised Learning: A ReviewInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 |
 Screening Gender Transfer in Neural Machine TranslationBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022 |
 Kernelized Concept ErasureConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Deep Learning for Bias Detection: From Inception to DeploymentAustralasian Data Mining Conference (AusDM), 2021 |
 Sustainable Modular Debiasing of Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Exploring the Efficacy of Automatically Generated Counterfactuals for
Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 Quantifying Social Biases in NLP: A Generalization and Empirical
Comparison of Extrinsic Fairness MetricsTransactions of the Association for Computational Linguistics (TACL), 2021 |
 Counterfactual Maximum Likelihood Estimation for Training Deep NetworksNeural Information Processing Systems (NeurIPS), 2021 |
 Counterfactual Interventions Reveal the Causal Effect of Relative Clause
Representations on Agreement PredictionConference on Computational Natural Language Learning (CoNLL), 2021 |
 A Survey of Data Augmentation Approaches for NLPFindings (Findings), 2021 |
 Mitigating Political Bias in Language Models Through Reinforced
CalibrationAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Societal Biases in Retrieved Contents: Measurement Framework and
Adversarial Mitigation for BERT RankersAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021 |
 Dictionary-based Debiasing of Pre-trained Word EmbeddingsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 Debiasing Pre-trained Contextualised EmbeddingsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 Explaining The Efficacy of Counterfactually Augmented DataInternational Conference on Learning Representations (ICLR), 2020 |
 Exploring the Linear Subspace Hypothesis in Gender Bias MitigationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased
Proximities in Word EmbeddingsTransactions of the Association for Computational Linguistics (TACL), 2020 |
 Language (Technology) is Power: A Critical Survey of "Bias" in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 On the Relationships Between the Grammatical Genders of Inanimate Nouns
and Their Co-Occurring Adjectives and VerbsTransactions of the Association for Computational Linguistics (TACL), 2020 |
 Multi-Dimensional Gender Bias ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
