Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improved Sentiment Detection via Label Transfer from Monolingual to
  Synthetic Code-Switched Text   Multilingual writers and speakers often alternate between two languages in a
single discourse, a practice called "code-switching". Existing sentiment
detection methods are usually trained on sentiment-labeled monolingual text.
Manually labeled code-switched text, especially involving minority languages,
is extremely rare. Consequently, the best monolingual methods perform
relatively poorly on code-switched text. We present an effective technique for
synthesizing labeled code-switched text from labeled monolingual text, which is
more readily available. The idea is to replace carefully selected subtrees of
constituency parses of sentences in the resource-rich language with suitable
token spans selected from automatic translations to the resource-poor language.
By augmenting scarce human-labeled code-switched text with plentiful synthetic
code-switched text, we achieve significant improvements in sentiment labeling
accuracy (1.5%, 5.11%, 7.20%) for three different language pairs
(English-Hindi, English-Spanish and English-Bengali). We also get significant
gains for hate speech detection: 4% improvement using only synthetic text and
6% if augmented with real text.

16
The categories of this paper are: stat
7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
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The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
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The categories of this paper are: econ
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The categories of this paper are: q-bio
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-lat