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Fairness

1,193 papers

Papers per year

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Papers

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL 2020
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ACL 2020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation ACL 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities ACL 2020
Towards Debiasing Sentence Representations ACL 2020
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations ACL 2020
A negative case analysis of visual grounding methods for VQA ACL 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020
Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling ACL 2020
Equalized odds postprocessing under imperfect group information AISTATS 2020
Auditing ML Models for Individual Bias and Unfairness AISTATS 2020
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models COLING 2020
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings COLING 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation CVPR 2020
Multi-Dimensional Gender Bias Classification EMNLP 2020
Unsupervised Discovery of Implicit Gender Bias EMNLP 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models EMNLP 2020
LOGAN: Local Group Bias Detection by Clustering EMNLP 2020
Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation EMNLP 2020
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias EMNLP 2020
Debiasing knowledge graph embeddings EMNLP 2020
Towards Debiasing NLU Models from Unknown Biases EMNLP 2020
Towards Controllable Biases in Language Generation EMNLP 2020
UNQOVERing Stereotyping Biases via Underspecified Questions EMNLP 2020