Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: kpfriends at SemEval-2022 Task 2: NEAMER -- Named Entity Augmented
  Multi-word Expression Recognizer   We present NEAMER -- Named Entity Augmented Multi-word Expression Recognizer.
This system is inspired by non-compositionality characteristics shared between
Named Entity and Idiomatic Expressions. We utilize transfer learning and
locality features to enhance idiom classification task. This system is our
submission for SemEval Task 2: Multilingual Idiomaticity Detection and Sentence
Embedding Subtask A OneShot shared task. We achieve SOTA with F1 0.9395 during
post-evaluation phase. We also observe improvement in training stability.
Lastly, we experiment with non-compositionality knowledge transfer,
cross-lingual fine-tuning and locality features, which we also introduce in
this paper.

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The categories of this paper are: ao-sci
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The categories of this paper are: hep-lat
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-th
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The categories of this paper are: stat
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The categories of this paper are: cond-mat
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The categories of this paper are: dg-ga
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The categories of this paper are: supr-con
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The categories of this paper are: econ
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The categories of this paper are: hep-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: eess
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The categories of this paper are: astro-ph
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The categories of this paper are: atom-ph