Disentangling Language and Knowledge in Task-Oriented Dialogs
Table 5: AMT Evaluations on CamRest and SMD (50% unseen) KA datasets
['[EMPTY]', '[BOLD] CamRest  [BOLD] Info', '[BOLD] CamRest  [BOLD] Grammar', '[BOLD] SMD  [BOLD] Info', '[BOLD] SMD  [BOLD] Grammar']
BoSsNet again outperforms the baselines and is labeled successful twice more often than the next best model on both Camrest and SMD. Seq2Seq appears to produce better sentence structures on the SMD dataset, primarily because it does not attempt to learn inference on the KB, allowing it to solely focus on learning the language model better.