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- W4306311704 abstract "Previous studies have introduced a weakly-supervised paradigm for solving math word problems requiring only the answer value annotation. While these methods search for correct value equation candidates as pseudo labels, they search among a narrow sub-space of the enormous equation space. To address this problem, we propose a novel search algorithm with combinatorial strategy textbf{ComSearch}, which can compress the search space by excluding mathematically equivalent equations. The compression allows the searching algorithm to enumerate all possible equations and obtain high-quality data. We investigate the noise in the pseudo labels that hold wrong mathematical logic, which we refer to as the textit{false-matching} problem, and propose a ranking model to denoise the pseudo labels. Our approach holds a flexible framework to utilize two existing supervised math word problem solvers to train pseudo labels, and both achieve state-of-the-art performance in the weak supervision task." @default.
- W4306311704 created "2022-10-15" @default.
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- W4306311704 date "2022-10-13" @default.
- W4306311704 modified "2023-10-17" @default.
- W4306311704 title "ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision" @default.
- W4306311704 doi "https://doi.org/10.48550/arxiv.2210.07017" @default.
- W4306311704 hasPublicationYear "2022" @default.
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