The former, which also makes use of the Neu-ralREG approach (Castro Ferreira et al., 2018a), tackles standard NLG tasks (discourse ordering, text structuring, lexicalization, referring expression generation and textual realization) in sequence, while the latter does not address these individual tasks, but directly tries to learn how to map RDF triples into corresponding output text.
the Transformer could have had difficulties caused by the task's design, where triples and sentences were segmented by tags (e.g.