Papers with end-to-end neural network methods

1 papers
Tree-structured Decoding for Solving Math Word Problems (D19-1)

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Challenge: Existing approaches to solve math word problems do not consider an abstract syntax tree.
Approach: They propose a tree-structured decoding method that generates an abstract syntax tree of an equation in a top-down manner and can stop during decoding without a redundant stop token.
Outcome: The proposed method achieves state-of-the-art performance on the largest dataset on this task.

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