Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Diverse and Non-redundant Answer Set Extraction on Community QA based on
  DPPs   In community-based question answering (CQA) platforms, it takes time for a
user to get useful information from among many answers. Although one solution
is an answer ranking method, the user still needs to read through the
top-ranked answers carefully. This paper proposes a new task of selecting a
diverse and non-redundant answer set rather than ranking the answers. Our
method is based on determinantal point processes (DPPs), and it calculates the
answer importance and similarity between answers by using BERT. We built a
dataset focusing on a Japanese CQA site, and the experiments on this dataset
demonstrated that the proposed method outperformed several baseline methods.

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The categories of this paper are: adap-org
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The categories of this paper are: math-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: dg-ga
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The categories of this paper are: funct-an
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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: quant-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: alg-geom
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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: mtrl-th
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The categories of this paper are: physics
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The categories of this paper are: q-alg
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The categories of this paper are: econ