In NLP, multi-task learning typically involves very heterogeneous tasks.
while great improvements have been reported (Luong et al., 2016;Klerke et al., 2016), results are also often mixed (Collobert and Weston, 2008;Martínez Alonso and Plank, 2017), and theoretical guarantees no longer apply.