Generating Sentences from Disentangled Syntactic and Semantic Spaces
Table 2: Reverse PPL reflect the diversity and fluency of sampling data, the lower↓, the better. Training on the model sampled and evaluated on the real test set. We set the same KL weight for DSS-VAE and VAE here.(KL weight=1.0)
['Model', 'Reverse PPL↓']
Results show that DSS-VAE has achieved a Reverse PPL comparable to (and slightly better than) PRPN-LM. It is also seen that explicitly modeling syntactic structures does yield better generation results—DSS-VAE and PRPN consistently outperform VAE and LSTM-LM in sentence generation.