Highlighting Named Entities in Input for Auto-Formulation of Optimization Problems

Understand

Operations research deals with modeling and solving real-world problems as mathematical optimization problems.

• While solving mathematical systems is accomplished by analytical software, formulating a problem as a set of mathematical operations has been typically done manually by domain experts.
• Recent machine learning methods have shown promise in converting textual problem descriptions to corresponding mathematical formulations.
• This paper presents an approach that converts linear programming word problems into mathematical formulations.