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Fairness
1139 directly classified papers
Papers per year
2013: 1
2017: 7
2018: 15
2019: 33
2020: 64
2021: 96
2022: 166
2023: 167
2024: 221
2025: 364
2026: 5
Papers
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
AAAI 2021
SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
AAAI 2021
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract)
AAAI 2021
VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services
AAAI 2021
Using Gender- and Polarity-Informed Models to Investigate Bias
ACL 2021
HateCheck: Functional Tests for Hate Speech Detection Models
ACL 2021
Bad Seeds: Evaluating Lexical Methods for Bias Measurement
ACL 2021
A Survey of Race, Racism, and Anti-Racism in NLP
ACL 2021
Intrinsic Bias Metrics Do Not Correlate with Application Bias
ACL 2021
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
ACL 2021
Reliability Testing for Natural Language Processing Systems
ACL 2021
Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing
ACL 2021
Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia
ACL 2021
Fine-Grained Fairness Analysis of Abusive Language Detection Systems with CheckList
ACL 2021
Improving Counterfactual Generation for Fair Hate Speech Detection
ACL 2021
Mitigating Biases in Toxic Language Detection through Invariant Rationalization
ACL 2021
Fair Attribute Classification Through Latent Space De-Biasing
CVPR 2021
Fair Feature Distillation for Visual Recognition
CVPR 2021
Adversarial Scrubbing of Demographic Information for Text Classification
EMNLP 2021
GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation
EMNLP 2021
Fairness-aware Class Imbalanced Learning
EMNLP 2021
Constructing a Psychometric Testbed for Fair Natural Language Processing
EMNLP 2021
The Effect of Round-Trip Translation on Fairness in Sentiment Analysis
EMNLP 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
EMNLP 2021
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
EMNLP 2021
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