Integrating User and Agent Models: A Deep Task-Oriented Dialogue System
Table 5: The nDCG scores of different models
['[EMPTY]', '[BOLD] SLNT', '[BOLD] SLT', '[BOLD] SAMIA']
Obviously, the proposed SAMIA framework significantly outperforms both the SLNT and SLT models in all the settings. This demonstrates that the proposed SAMIA framework not only generates the set of high rewarded candidate responses but also can prioritize the high-reward candidates effectively in the ranking. Due to the extra tag information, the SLT also has some improvement over the vanilla SLNT in all the settings.