Co-occurring keywords · papers mentioning both
Papers
MEAN: Multi-head Entity Aware Attention Networkfor Political Perspective Detection in News Media
NAACL 2021
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
ICML 2021
Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts
ACL 2021
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
EMNLP 2021
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
AAAI 2021
Towards Automatic Bias Detection in Knowledge Graphs
EMNLP 2021
Uncovering Latent Biases in Text: Method and Application to Peer Review
AAAI 2021
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
EMNLP 2021
Analyzing Gender Bias within Narrative Tropes
EMNLP 2020
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings
COLING 2020
Argument from Old Man’s View: Assessing Social Bias in Argumentation
COLING 2020
Auditing ML Models for Individual Bias and Unfairness
AISTATS 2020
Contextualizing Hate Speech Classifiers with Post-hoc Explanation
ACL 2020
Detecting Media Bias in News Articles using Gaussian Bias Distributions
EMNLP 2020
Do Face Masks Introduce Bias in Speech Technologies? The Case of Automated Scoring of Speaking Proficiency
Interspeech 2020
Enhancing Bias Detection in Political News Using Pragmatic Presupposition
ACL 2020
FairyTED: A Fair Rating Predictor for TED Talk Data
AAAI 2020
Faking Fairness via Stealthily Biased Sampling
AAAI 2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
EMNLP 2020
Generating Ethnographic Models from Communities’ Online Data
ACL 2020
Graduate Employment Prediction with Bias
AAAI 2020
Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings
EMNLP 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds
ACL 2020
Language (Technology) is Power: A Critical Survey of “Bias” in NLP
ACL 2020
LOGAN: Local Group Bias Detection by Clustering
EMNLP 2020