Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and
  Data Augmentation in Neural Models for Propaganda Detection in News Articles   This paper presents our systems for SemEval 2020 Shared Task 11: Detection of
Propaganda Techniques in News Articles. We participate in both the span
identification and technique classification subtasks and report on experiments
using different BERT-based models along with handcrafted features. Our models
perform well above the baselines for both tasks, and we contribute ablation
studies and discussion of our results to dissect the effectiveness of different
features and techniques with the goal of aiding future studies in propaganda
detection.

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The categories of this paper are: math-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: econ
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The categories of this paper are: adap-org
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The categories of this paper are: cond-mat
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The categories of this paper are: chao-dyn
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: math
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The categories of this paper are: alg-geom
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-alg
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-th
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The categories of this paper are: chem-ph
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The categories of this paper are: patt-sol