A Meaning-based Statistical English Math Word Problem Solver

Understand

We introduce MeSys, a meaning-based approach, for solving English math word problems (MWPs) via understanding and reasoning in this paper.

• It first analyzes the text, transforms both body and question parts into their corresponding logic forms, and then performs inference on them.
• The associated context of each quantity is represented with proposed role-tags (e.g., nsubj, verb, etc.), which provides the flexibility for annotating an extracted math quantity with its associated context information (i.e., the physical meaning of this quantity).
• Statistical models are proposed to select the operator and operands.