Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DeepZensols: Deep Natural Language Processing Framework   Reproducing results in publications by distributing publicly available source
code is becoming ever more popular. Given the difficulty of reproducing machine
learning (ML) experiments, there have been significant efforts in reducing the
variance of these results. As in any science, the ability to consistently
reproduce results effectively strengthens the underlying hypothesis of the
work, and thus, should be regarded as important as the novel aspect of the
research itself. The contribution of this work is a framework that is able to
reproduce consistent results and provides a means of easily creating, training,
and evaluating natural language processing (NLP) deep learning (DL) models.

8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ