Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Meta-Learning for Natural Language Understanding under Continual
  Learning Framework   Neural network has been recognized with its accomplishments on tackling
various natural language understanding (NLU) tasks. Methods have been developed
to train a robust model to handle multiple tasks to gain a general
representation of text. In this paper, we implement the model-agnostic
meta-learning (MAML) and Online aware Meta-learning (OML) meta-objective under
the continual framework for NLU tasks. We validate our methods on selected
SuperGLUE and GLUE benchmark.

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The categories of this paper are: patt-sol
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
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The categories of this paper are: econ
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
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The categories of this paper are: math-ph
4
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: plasm-ph