Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cross-lingual Offensive Language Identification for Low Resource
  Languages: The Case of Marathi   The widespread presence of offensive language on social media motivated the
development of systems capable of recognizing such content automatically. Apart
from a few notable exceptions, most research on automatic offensive language
identification has dealt with English. To address this shortcoming, we
introduce MOLD, the Marathi Offensive Language Dataset. MOLD is the first
dataset of its kind compiled for Marathi, thus opening a new domain for
research in low-resource Indo-Aryan languages. We present results from several
machine learning experiments on this dataset, including zero-short and other
transfer learning experiments on state-of-the-art cross-lingual transformers
from existing data in Bengali, English, and Hindi.

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The categories of this paper are: nucl-th
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The categories of this paper are: hep-lat
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The categories of this paper are: funct-an
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The categories of this paper are: chao-dyn
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The categories of this paper are: stat
34
The categories of this paper are: chem-ph
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The categories of this paper are: solv-int
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The categories of this paper are: q-bio
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The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: supr-con
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The categories of this paper are: eess
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The categories of this paper are: adap-org
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The categories of this paper are: cmp-lg
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The categories of this paper are: astro-ph
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The categories of this paper are: atom-ph