Papers with copy and alignment mechanism
Neural Math Word Problem Solver with Reinforcement Learning (C18-1)
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| Challenge: | Existing models for solving math word problems rely on predefined rules or feature engineering. |
| Approach: | They propose to incorporate copy and alignment mechanism into the sequence-to-sequence model to address two shortcomings . they use model output as a feature and incorporate it into the feature-based model to explore the effectiveness . |
| Outcome: | The proposed model outperforms the state-of-the-art models on the problem solving task. |