SEntNet: Source-aware Recurrent Entity Networkfor Dialogue Response Selection
Table 2: The effect of lexical diversity on SEntNet and EntNet, on the dialog bAbI and mDSTC2 datasets. The results are the best turn-level accuracy in 10 runs. Bold results indicate a statistically significant improvement over the strongest baseline (paired t-test, p<0.01).
['[BOLD] Model', '[BOLD] dialog bAbI', '[BOLD] mDSTC2']
It indicates that SEntNet has the potential to handle different degrees of lexical diversity. This matters as it may help with adaptation for end-to-end TDSs. In the results on the mDSTC2 dataset we do not obtain significant differences; noise in the data may be a crucial factor behind this observation.