The case where there are both gold-standard trees and a task-specific objective for the entire training set is a specific instance of the larger problem that we address here.
the algorithm takes the form of an online learner where a training instance is selected and the param-eters are optimized based on the objective function associated with the instance (either intrinsic or extrinsic), thus jointly optimizing multiple objectives.