Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Semantic Code Classification for Automated Machine Learning   A range of applications for automatic machine learning need the generation
process to be controllable. In this work, we propose a way to control the
output via a sequence of simple actions, that are called semantic code classes.
Finally, we present a semantic code classification task and discuss methods for
solving this problem on the Natural Language to Machine Learning (NL2ML)
dataset.

3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph