Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generating Politically-Relevant Event Data   Automatically generated political event data is an important part of the
social science data ecosystem. The approaches for generating this data, though,
have remained largely the same for two decades. During this time, the field of
computational linguistics has progressed tremendously. This paper presents an
overview of political event data, including methods and ontologies, and a set
of experiments to determine the applicability of deep neural networks to the
extraction of political events from news text.

31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin