Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature
  Representations For Propaganda Classification   This paper describes our submissions to SemEval 2020 Task 11: Detection of
Propaganda Techniques in News Articles for each of the two subtasks of Span
Identification and Technique Classification. We make use of pre-trained BERT
language model enhanced with tagging techniques developed for the task of Named
Entity Recognition (NER), to develop a system for identifying propaganda spans
in the text. For the second subtask, we incorporate contextual features in a
pre-trained RoBERTa model for the classification of propaganda techniques. We
were ranked 5th in the propaganda technique classification subtask.

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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: astro-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: cmp-lg
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The categories of this paper are: stat
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The categories of this paper are: hep-ph
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The categories of this paper are: nlin
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The categories of this paper are: math-ph
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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: physics
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The categories of this paper are: atom-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: patt-sol
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The categories of this paper are: alg-geom