ProSLU

In the paper, to bridge the research gap, we propose a new and important task, Profile-based Spoken Language Understanding (ProSLU), which requires a model not only depends on the text but also on the given supporting profile information.
We further introduce a Chinese human-annotated dataset, with over 5K utterances annotated with intent and slots, and corresponding supporting profile information.
In total, we provide three types of supporting profile information:
(1) Knowledge Graph (KG) consists of entities with rich attributes,
(2) User Profile (UP) is composed of user settings and information,
(3) Context Awareness(CA) is user state and environmental information.