Such systems rely on end-to-end training on large amounts of data, making no prior assumptions about linguistic structure and focusing on stastically frequent patterns.
they somehow step away from computational linguistics as they learn implicit linguistic information automatically without aiming at explaining or even exhibiting classic linguistic structures underlying the decision.