Before revision:  Then, we use the well-trained features to automatically learn the adaptive spherical decision boundaries for each known intent . Specifically, we propose a new loss function to balance both the empirical risk and the open space risk.
After revision:  Then, we use the well-trained features to automatically learn the adaptive spherical decision boundaries for each known class with the aid of well-trained features . Specifically, we propose a new loss function to balance both the empirical risk and the open space risk.