Unsupervised Natural Language Generation with Denoising Autoencoders
Table 4: Results on the E2E dataset. The terms ood and ind are abbreviations for out-of-domain and in-domain respectively. The baseline systems as well as the unsupervised systems that are not labeled with + ood data are trained on the E2E in-domain training data only.
['setup', 'model', 'Bleu', 'Rouge-L', 'Nist']
Our baseline yields better performance on Bleu and Rouge-L while reaching similar performance in Nist. Our third (unsupervised) baseline copy input just runs the evaluation metrics on the input (slot values of the structured data). This system performs much worse, but serves as a lower bound for our unsupervised experiments.