Mitigation of Unintended Biases against Non-Native English Texts in Sentiment Analysis
By Alina Zhiltsova, Simon Caton, Catherine Mulway. 2019
13 citations recorded by the source corpus.
Subfields: Sentiment & Opinion Analysis, AI Ethics, Fairness & Society
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In AI Ethics, Fairness & Society
Citations in the corpus
- Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics (2021, background): “Just like fairness metrics, statistical significance tests can also detect the presence of systematic differences in the behavior of a model, and hence are often employed as alternative means to quantify bias (Mohammad et al., 2018; Davidson et al., 2019; Zhiltsova et al., 2019).”
- Fairness in Machine Learning: A Survey (2020, unknown): “[293]), and unsupervised balancing of the training dataset [84].”