  We describe an augmented intelligence system for simplifying and enhancing
the modeling experience for operations research. Using this system, the user
receives a suggested formulation of an optimization problem based on its
description. To facilitate this process, we build an intuitive user interface
system that enables the users to validate and edit the suggestions. We
investigate controlled generation techniques to obtain an automatic suggestion
of formulation. Then, we evaluate their effectiveness with a newly created
dataset of linear programming problems drawn from various application domains.
