The UPC RDF-to-Text System at WebNLG Challenge 2020
2020-12-01ACL (WebNLG, INLG) 2020Unverified0· sign in to hype
David Bergés, Roser Cantenys, Roger Creus, Oriol Domingo, José A. R. Fonollosa
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
This work describes the end-to-end system architecture presented at WebNLG Challenge 2020. The system follows the traditional Machine Translation (MT) pipeline, based on the Transformer model, applied in most text-totext problems. Our solution is enriched by means of a Back Translation step over the original corpus. Thus, the system directly relies on lexicalise format since the synthetic data limits the use of delexicalisation.