Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture
  for Complex NER   We investigate the task of complex NER for the English language. The task is
non-trivial due to the semantic ambiguity of the textual structure and the
rarity of occurrence of such entities in the prevalent literature. Using
pre-trained language models such as BERT, we obtain a competitive performance
on this task. We qualitatively analyze the performance of multiple
architectures for this task. All our models are able to outperform the baseline
by a significant margin. Our best performing model beats the baseline F1-score
by over 9%.

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The categories of this paper are: adap-org
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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: supr-con
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The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
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The categories of this paper are: quant-ph
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The categories of this paper are: funct-an
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The categories of this paper are: cond-mat
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The categories of this paper are: patt-sol
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The categories of this paper are: comp-gas
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The categories of this paper are: chao-dyn
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The categories of this paper are: physics
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: acc-phys