Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems   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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The categories of this paper are: comp-gas
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The categories of this paper are: atom-ph
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The categories of this paper are: eess
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The categories of this paper are: q-fin
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The categories of this paper are: cond-mat
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The categories of this paper are: q-alg
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The categories of this paper are: solv-int
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The categories of this paper are: astro-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: nlin
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The categories of this paper are: funct-an
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The categories of this paper are: q-bio
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The categories of this paper are: math
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The categories of this paper are: gr-qc
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The categories of this paper are: econ
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The categories of this paper are: hep-ex