Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pseudo-labelling Enhanced Media Bias Detection   Leveraging unlabelled data through weak or distant supervision is a
compelling approach to developing more effective text classification models.
This paper proposes a simple but effective data augmentation method, which
leverages the idea of pseudo-labelling to select samples from noisy distant
supervision annotation datasets. The result shows that the proposed method
improves the accuracy of biased news detection models.

12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
3
The categories of this paper are: physics