Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multilingual Text Classification for Dravidian Languages   As the fourth largest language family in the world, the Dravidian languages
have become a research hotspot in natural language processing (NLP). Although
the Dravidian languages contain a large number of languages, there are
relatively few public available resources. Besides, text classification task,
as a basic task of natural language processing, how to combine it to multiple
languages in the Dravidian languages, is still a major difficulty in Dravidian
Natural Language Processing. Hence, to address these problems, we proposed a
multilingual text classification framework for the Dravidian languages. On the
one hand, the framework used the LaBSE pre-trained model as the base model.
Aiming at the problem of text information bias in multi-task learning, we
propose to use the MLM strategy to select language-specific words, and used
adversarial training to perturb them. On the other hand, in view of the problem
that the model cannot well recognize and utilize the correlation among
languages, we further proposed a language-specific representation module to
enrich semantic information for the model. The experimental results
demonstrated that the framework we proposed has a significant performance in
multilingual text classification tasks with each strategy achieving certain
improvements.

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The categories of this paper are: nlin
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The categories of this paper are: bayes-an
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The categories of this paper are: econ
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: atom-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: gr-qc
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The categories of this paper are: cmp-lg
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The categories of this paper are: math
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: solv-int
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The categories of this paper are: chem-ph
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The categories of this paper are: physics