Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Attention Fusion Networks: Combining Behavior and E-mail Content to
  Improve Customer Support   Customer support is a central objective at Square as it helps us build and
maintain great relationships with our sellers. In order to provide the best
experience, we strive to deliver the most accurate and quasi-instantaneous
responses to questions regarding our products.
  In this work, we introduce the Attention Fusion Network model which combines
signals extracted from seller interactions on the Square product ecosystem,
along with submitted email questions, to predict the most relevant solution to
a seller's inquiry. We show that the innovative combination of two very
different data sources that are rarely used together, using state-of-the-art
deep learning systems outperforms, candidate models that are trained only on a
single source.

8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg