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A Goal-Driven Tree-Structured Neural Model for Math Word Problems
Most existing neural models for math word problems exploit Seq2Seq model to generate solution expressions sequentially from left to right, whose results are far from satisfactory due to the lack of goal-driven mechanism commonly seen in human problem solving.
Ranked #12 on
Math Word Problem Solving
on Math23K
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