Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for
  Multilingual Offensive Language Identification   This paper presents our system entitled `LIIR' for SemEval-2020 Task 12 on
Multilingual Offensive Language Identification in Social Media (OffensEval 2).
We have participated in sub-task A for English, Danish, Greek, Arabic, and
Turkish languages. We adapt and fine-tune the BERT and Multilingual Bert models
made available by Google AI for English and non-English languages respectively.
For the English language, we use a combination of two fine-tuned BERT models.
For other languages we propose a cross-lingual augmentation approach in order
to enrich training data and we use Multilingual BERT to obtain sentence
representations. LIIR achieved rank 14/38, 18/47, 24/86, 24/54, and 25/40 in
Greek, Turkish, English, Arabic, and Danish languages, respectively.

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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ph
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The categories of this paper are: q-bio
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The categories of this paper are: q-alg
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The categories of this paper are: cmp-lg
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The categories of this paper are: nucl-th
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The categories of this paper are: ao-sci
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: hep-th
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The categories of this paper are: stat
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-ex
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The categories of this paper are: solv-int