We have used the EurWordNet list of ontological types for senses (Vossen et al., 1998) to convert the SUPERSENSES into coarser semantic traits like Animate or UnboundedEvent.
(2016), who focus on the effect of auxiliary data size (constituency parsing) on the main task (machine translation), finding that large amounts of auxiliary data swamp the learning of the main task.