1 code implementation • 4 Feb 2021 • Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari
Specifically, we propose a Multi-Branch Decoder which is able to leverage word-level labels to learn the relevant parts of each training instance.
Ranked #3 on Table-to-Text Generation on Shaban Saja
1 code implementation • 26 Apr 2019 • Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari
In the last few years, many different methods have been focusing on using deep recurrent neural networks for natural language generation.
Ranked #2 on Data-to-Text Generation on E2E NLG Challenge