Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast and Scalable Dialogue State Tracking with Explicit Modular
  Decomposition   We present a fast and scalable architecture called Explicit Modular
Decomposition (EMD), in which we incorporate both classification-based and
extraction-based methods and design four modules (for classification and
sequence labelling) to jointly extract dialogue states. Experimental results
based on the MultiWoz 2.0 dataset validates the superiority of our proposed
model in terms of both complexity and scalability when compared to the
state-of-the-art methods, especially in the scenario of multi-domain dialogues
entangled with many turns of utterances.

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The categories of this paper are: nlin
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The categories of this paper are: nucl-th
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
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The categories of this paper are: mtrl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-fin
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The categories of this paper are: astro-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: eess
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The categories of this paper are: cond-mat
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The categories of this paper are: stat