Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Reading of Hypotheses for Organizational Research Reviews and
  Pre-trained Models via R Shiny App for Non-Programmers   The volume of scientific publications in organizational research becomes
exceedingly overwhelming for human researchers who seek to timely extract and
review knowledge. This paper introduces natural language processing (NLP)
models to accelerate the discovery, extraction, and organization of theoretical
developments (i.e., hypotheses) from social science publications. We illustrate
and evaluate NLP models in the context of a systematic review of stakeholder
value constructs and hypotheses. Specifically, we develop NLP models to
automatically 1) detect sentences in scholarly documents as hypotheses or not
(Hypothesis Detection), 2) deconstruct the hypotheses into nodes (constructs)
and links (causal/associative relationships) (Relationship Deconstruction ),
and 3) classify the features of links in terms causality (versus association)
and direction (positive, negative, versus nonlinear) (Feature Classification).
Our models have reported high performance metrics for all three tasks. While
our models are built in Python, we have made the pre-trained models fully
accessible for non-programmers. We have provided instructions on installing and
using our pre-trained models via an R Shiny app graphic user interface (GUI).
Finally, we suggest the next paths to extend our methodology for
computer-assisted knowledge synthesis.

22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
2
The categories of this paper are: math