Personalization in Goal-oriented Dialog
Table 6: Personalization task 2 (Updating API calls). The model correctly learns to focus on the original API call and the changes demanded by the user. It does not require multiple hops to solve this task.
['[BOLD] Time', '[BOLD] Locutor', '[BOLD] Dialog History', '[BOLD] Hop #1', '[BOLD] Hop #2', '[BOLD] Hop #3']
They completed PT1 and PT2 (issuing and updating API calls) with a very high degree of accuracy. This indicates that the model is able to implicitly track dialog state and personalize the bot’s utterance based on the user’s profile.