Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation
  and ensemble to recognize complex Named Entities in Bangla   Many areas, such as the biological and healthcare domain, artistic works, and
organization names, have nested, overlapping, discontinuous entity mentions
that may even be syntactically or semantically ambiguous in practice.
Traditional sequence tagging algorithms are unable to recognize these complex
mentions because they may violate the assumptions upon which sequence tagging
schemes are founded. In this paper, we describe our contribution to SemEval
2022 Task 11 on identifying such complex Named Entities. We have leveraged the
ensemble of multiple ELECTRA-based models that were exclusively pretrained on
the Bangla language with the performance of ELECTRA-based models pretrained on
English to achieve competitive performance on the Track-11. Besides providing a
system description, we will also present the outcomes of our experiments on
architectural decisions, dataset augmentations, and post-competition findings.

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The categories of this paper are: nlin
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-th
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The categories of this paper are: supr-con
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The categories of this paper are: bayes-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: physics
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The categories of this paper are: nucl-th
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The categories of this paper are: gr-qc
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The categories of this paper are: solv-int
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The categories of this paper are: stat
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The categories of this paper are: q-alg
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-lat