Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Ensemble Dialogue System for Facts-Based Sentence Generation   This study aims to generate responses based on real-world facts by
conditioning context and external facts extracted from information websites.
Our system is an ensemble system that combines three modules: generated-based
module, retrieval-based module, and reranking module. Therefore, this system
can return diverse and meaningful responses from various perspectives. The
experiments and evaluations are conducted with the sentence generation task in
Dialog System Technology Challenges 7 (DSTC7-Task2). As a result, the proposed
system performed significantly better than sole modules, and worked fine at the
DSTC7-Task2, specifically on the objective evaluation.

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The categories of this paper are: chem-ph
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The categories of this paper are: physics
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: math-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-lat
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The categories of this paper are: q-fin
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The categories of this paper are: plasm-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: econ