Before revision:  The first network called theMFS-Net constructs a minimal feasible summary by identifying the key concepts of the input document . The second network called the Pointer-Magnifier then generates the final summary from the minimal feasible summary by leveraging an interpretable multi-headed attention model.
After revision:  The first network called theMFS-Net interpretable multi-headed attention model.