Papers with syntax-aware local attention

1 papers
Improving BERT with Syntax-aware Local Attention (2021.findings-acl)

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Challenge: Recent studies show that attention-based models benefit from more focused attention over local regions.
Approach: They propose a syntax-aware local attention which restrains attention over syntactically relevant words.
Outcome: The proposed model performs better on all benchmark datasets, including sentence classification and sequence labeling tasks.

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