Papers with structure-aware neural architecture

1 papers
Coarse-to-Fine Decoding for Neural Semantic Parsing (P18-1)

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Challenge: Experimental results show that semantic parsing is more efficient than using simple decoders.
Approach: They propose a structure-aware neural architecture which decomposes the semantic parsing process into two stages.
Outcome: The proposed architecture consistently improves performance on four datasets characteristic of different domains and meaning representations.

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