Tisha Anders

uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation

We propose uFACT (Un-Faithful Alien Corpora Training), a training corpus construction method for data-to-text (d2t) generation models. We show that d2t models trained on uFACT datasets generate utterances which represent the semantic content of the data sources more accurately compared to models tra…