Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems

Balaraman, Vevake, Magnini, Bernardo

arXiv.org Artificial Intelligence 

In such systems the dialogue state tracker (DST) is a core component, aimed to maintain a distribution over the dialogue states based on the dialogue history. A dialogue state at any turn t in the dialogue is typically represented as a set of slot-value pairs, such as ( price, moderate) or ( food, italian) in the context of restaurant reservation. The goal of the DST is to determine the user's intent and the user's goal during the dialogue and represent them as such slot-value pairs. The downstream components of a dialogue system (e.g the dialogue manager) that are responsible to choose the next system action, rely on an accurate DST for an effective dialogue strategy. Because of the importance of DST in dialogue systems, their development attracted lots of research both in academia and industry. Typical dialogue systems are modeled for a fixed ontology consisting of a single domain (Mrk ˇ si c et al. 2017; Zhong, Xiong, and Socher 2018; Ren et al. 2018), and the domain ontology schema defines intents, slots and values for each slot of the domain.

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