Papers with macro level information

1 papers
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization (N18-1)

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Challenge: a proposed model for generating natural language descriptions is too generic and does not exploit task specific characteristics.
Approach: They propose a model which uses a fused bifocal attention mechanism to exploit micro and macro level information and a gated orthogonalization mechanism to ensure that a field is remembered for a few time steps and then forgotten.
Outcome: The proposed model improves on a recently released dataset with two similar datasets for French and German.

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