PGTask: Introducing the Task of Profile Generation from Dialogues
This addresses the scarcity of profile data for dialogue personalization, though it is incremental as it builds on existing methods.
The paper tackles the problem of generating user profiles from dialogues to personalize dialogue systems, introducing a new dataset and benchmark for this task.
Recent approaches have attempted to personalize dialogue systems by leveraging profile information into models. However, this knowledge is scarce and difficult to obtain, which makes the extraction/generation of profile information from dialogues a fundamental asset. To surpass this limitation, we introduce the Profile Generation Task (PGTask). We contribute with a new dataset for this problem, comprising profile sentences aligned with related utterances, extracted from a corpus of dialogues. Furthermore, using state-of-the-art methods, we provide a benchmark for profile generation on this novel dataset. Our experiments disclose the challenges of profile generation, and we hope that this introduces a new research direction.