Multi-Domain Dialogue State Tracking with Disentangled Domain-Slot Attention
Longfei Yang, Jiyi Li, Sheng Li, Takahiro Shinozaki · 2023
As the core of task-oriented dialogue systems, dialogue state tracking (DST) is designed to track the dialogue state through the conversation between users and systems.Multi-domain DST has been an important challenge in which the dialogue states across multiple domains need to consider.In recent mainstream approaches, each domain and slot are aggregated and regarded as a single query feeding into attention with the dialogue history to obtain domain-slot specific representations.In this work, we propose disentangled domain-slot attention for multi-domain dialogue state tracking.The proposed approach disentangles the domain-slot specific information extraction in a flexible and context-dependent manner by separating the query about domains and slots in the attention component.Through a series of experiments on MultiWOZ 2.0 and MultiWOZ 2.4 datasets, we demonstrate that our proposed approach outperforms the standard multi-head attention with aggregated domain-slot query.