Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Empirical Study of Incorporating Pseudo Data into Grammatical Error
  Correction   The incorporation of pseudo data in the training of grammatical error
correction models has been one of the main factors in improving the performance
of such models. However, consensus is lacking on experimental configurations,
namely, choosing how the pseudo data should be generated or used. In this
study, these choices are investigated through extensive experiments, and
state-of-the-art performance is achieved on the CoNLL-2014 test set
($F_{0.5}=65.0$) and the official test set of the BEA-2019 shared task
($F_{0.5}=70.2$) without making any modifications to the model architecture.

32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph