Papers with MCD1
Grounded Graph Decoding improves Compositional Generalization in Question Answering (2021.findings-emnlp)
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| Challenge: | Current compositional generalization models lose syntax context when learning a flat input . a new method to improve compositional globalization is proposed to ground structured predictions with an attention mechanism. |
| Approach: | They propose a method to ground structured predictions by a structure-based attention mechanism. |
| Outcome: | The proposed method performs competitively on the Compositional Freebase Questions dataset. |