Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: syrapropa at SemEval-2020 Task 11: BERT-based Models Design For
  Propagandistic Technique and Span Detection   This paper describes the BERT-based models proposed for two subtasks in
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. We
first build the model for Span Identification (SI) based on SpanBERT, and
facilitate the detection by a deeper model and a sentence-level representation.
We then develop a hybrid model for the Technique Classification (TC). The
hybrid model is composed of three submodels including two BERT models with
different training methods, and a feature-based Logistic Regression model. We
endeavor to deal with imbalanced dataset by adjusting cost function. We are in
the seventh place in SI subtask (0.4711 of F1-measure), and in the third place
in TC subtask (0.6783 of F1-measure) on the development set.

21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys