Prior work has combined these three scores into a single number using geometric averaging (Xu et al., 2018) or learned weights (Pang and Gimpel, 2019).
the aggregation is computed after averaging each metric independently across the test set (corpus-level aggregation), which is problematic since systems might generate sentences that optimize only a subset of metrics.