Siyuan Huang

Learning by Fixing: Solving Math Word Problems with Weak Supervision

2020 · arXiv (Cornell University)

Previous neural solvers of math word problems (MWPs) are learned with full supervision and fail to generate diverse solutions. In this paper, we address this issue by introducing a \textit{weakly-supervised} paradigm for learning MWPs. Our …