1 code implementation • WS 2019 • Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni
While sequence-to-sequence models have shown remarkable generalization power across several natural language tasks, their construct of solutions are argued to be less compositional than human-like generalization.
no code implementations • 20 May 2018 • Dieuwke Hupkes, Anand Singh, Kris Korrel, German Kruszewski, Elia Bruni
While neural network models have been successfully applied to domains that require substantial generalisation skills, recent studies have implied that they struggle when solving the task they are trained on requires inferring its underlying compositional structure.
