We propose to use knowledge distillation, or training a student model that mimics the behavior of a trained teacher model, as a technique to generate faithful and plausible explanations.
Machine learning models that offer excellent predictive performance often lack the interpretability necessary to support integrated human machine decision-making.
We address the task of explaining relationships between two scientific documents using natural language text.
Vulgar words are employed in language use for several different functions, ranging from expressing aggression to signaling group identity or the informality of the communication.
Vulgarity is a common linguistic expression and is used to perform several linguistic functions.