Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems
- URL: http://arxiv.org/abs/2001.07526v1
- Date: Tue, 21 Jan 2020 13:41:09 GMT
- Title: Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems
- Authors: Vevake Balaraman and Bernardo Magnini
- Abstract summary: In task-oriented dialogue systems the dialogue state tracker (DST) component is responsible for predicting the state of the dialogue based on the dialogue history.
We propose a domain-aware dialogue state tracker that is completely data-driven and it is modeled to predict for dynamic service schemas.
- Score: 2.3859169601259347
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In task-oriented dialogue systems the dialogue state tracker (DST) component
is responsible for predicting the state of the dialogue based on the dialogue
history. Current DST approaches rely on a predefined domain ontology, a fact
that limits their effective usage for large scale conversational agents, where
the DST constantly needs to be interfaced with ever-increasing services and
APIs. Focused towards overcoming this drawback, we propose a domain-aware
dialogue state tracker, that is completely data-driven and it is modeled to
predict for dynamic service schemas. The proposed model utilizes domain and
slot information to extract both domain and slot specific representations for a
given dialogue, and then uses such representations to predict the values of the
corresponding slot. Integrating this mechanism with a pretrained language model
(i.e. BERT), our approach can effectively learn semantic relations.
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