In this work, we propose the Global-Locally Self-Attentive Dialogue State Tracker (GLAD), a new state-of-the-art model for dialogue state tracking.
(3) Here, the scalar β s is a learned parameter between 0 and 1 that is specific to the slot s. Next, we compute a global-local self-attention context c over H. Self-attention, or intra-attention, is a very effective method of computing summary context over variable-length sequences for natural language processing tasks (Cheng et al., 2016;.