Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific
  BERT?   This paper presents the different models submitted by the LT@Helsinki team
for the SemEval 2020 Shared Task 12. Our team participated in sub-tasks A and
C; titled offensive language identification and offense target identification,
respectively. In both cases we used the so-called Bidirectional Encoder
Representation from Transformer (BERT), a model pre-trained by Google and
fine-tuned by us on the OLID and SOLID datasets. The results show that
offensive tweet classification is one of several language-based tasks where
BERT can achieve state-of-the-art results.

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The categories of this paper are: hep-th
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
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The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ex
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The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an