Classifiers tend to learn a false causal relationship between an
over-re...
The criminalization of poverty has been widely denounced as a collective...
As text-to-image systems continue to grow in popularity with the general...
Previous works on the fairness of toxic language classifiers compare the...
Motivations for methods in explainable artificial intelligence (XAI) oft...
In an effort to guarantee that machine learning model outputs conform wi...
We present a novel feature attribution method for explaining text
classi...
Robustness of machine learning models on ever-changing real-world data i...
The population is aging, and becoming more tech-savvy. The United Nation...
Stereotypical language expresses widely-held beliefs about different soc...
The pervasiveness of abusive content on the internet can lead to severe
...
When comparing entities extracted by a medical entity recognition system...
Entity recognition is a critical first step to a number of clinical NLP
...