University of Edinburgh’s submission to the Document-level Generation and Translation Shared Task
Ratish Puduppully, Jonathan Mallinson, Mirella Lapata · 2019
The University of Edinburgh participated in all six tracks: NLG, MT, and MT+NLG with both English and German as targeted languages.For the NLG track, we submitted a multilingual system based on the Content Selection and Planning model of Puduppully et al. (2019).For the MT track, we submitted Transformerbased Neural Machine Translation models, where out-of-domain parallel data was augmented with in-domain data extracted from monolingual corpora.Our MT+NLG systems disregard the structured input data and instead rely exclusively on the source summaries.