Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss
  Pairs for Interpretation   Pun location is to identify the punning word (usually a word or a phrase that
makes the text ambiguous) in a given short text, and pun interpretation is to
find out two different meanings of the punning word. Most previous studies
adopt limited word senses obtained by WSD(Word Sense Disambiguation) technique
or pronunciation information in isolation to address pun location. For the task
of pun interpretation, related work pays attention to various WSD algorithms.
In this paper, a model called DANN (Dual-Attentive Neural Network) is proposed
for pun location, effectively integrates word senses and pronunciation with
context information to address two kinds of pun at the same time. Furthermore,
we treat pun interpretation as a classification task and construct pungloss
pairs as processing data to solve this task. Experiments on the two benchmark
datasets show that our proposed methods achieve new state-of-the-art results.
Our source code is available in the public code repository.

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The categories of this paper are: q-bio
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The categories of this paper are: econ
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The categories of this paper are: hep-th
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The categories of this paper are: patt-sol
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The categories of this paper are: astro-ph
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The categories of this paper are: q-fin
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The categories of this paper are: nlin
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The categories of this paper are: math
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The categories of this paper are: funct-an
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The categories of this paper are: nucl-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: chem-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: quant-ph
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The categories of this paper are: eess
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The categories of this paper are: hep-ph