Papers with differentiable relaxation of the

1 papers
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing (2021.emnlp-main)

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Challenge: Abstract Meaning Representations (AMR) represents sentence meaning as a directed acyclic graph.
Approach: They propose to treat alignment and segmentation as latent variables and induce them as part of end-to-end training.
Outcome: The proposed model achieves significant performance gains over a 'greedy' segmentation heuristic.

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