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Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

Ethics consideration sections in natural language processing papers EMNLP 2022
Should We Ban English NLP for a Year? EMNLP 2022
Rethinking the Authorship Verification Experimental Setups EMNLP 2022
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models EMNLP 2022
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization EMNLP 2022
Bridging Fairness and Environmental Sustainability in Natural Language Processing EMNLP 2022
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection EMNLP 2022
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing EMNLP 2022
“I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset EMNLP 2022
Perturbation Augmentation for Fairer NLP EMNLP 2022
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention EMNLP 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference EMNLP 2022
The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation EMNLP 2022
Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference EMNLP 2022
Balancing out Bias: Achieving Fairness Through Balanced Training EMNLP 2022
Directions for NLP Practices Applied to Online Hate Speech Detection EMNLP 2022
FairLib: A Unified Framework for Assessing and Improving Fairness EMNLP 2022
Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond EMNLP 2022
Handling and Presenting Harmful Text in NLP Research EMNLP 2022
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining EMNLP 2022
DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents EMNLP 2022
How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts. EMNLP 2022
Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP 2022
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media EMNLP 2022
Conditional Supervised Contrastive Learning for Fair Text Classification EMNLP 2022