Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-Task Neural Models for Translating Between Styles Within and
  Across Languages   Generating natural language requires conveying content in an appropriate
style. We explore two related tasks on generating text of varying formality:
monolingual formality transfer and formality-sensitive machine translation. We
propose to solve these tasks jointly using multi-task learning, and show that
our models achieve state-of-the-art performance for formality transfer and are
able to perform formality-sensitive translation without being explicitly
trained on style-annotated translation examples.

29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph