Papers with tree-based encoders

1 papers
On Tree-Based Neural Sentence Modeling (D18-1)

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Challenge: Existing tree-based sentence modeling approaches adopt syntactic parsing trees as the explicit structure prior.
Approach: They replace parsing trees with trivial trees to study their effectiveness . they found that tree-based sentence modeling gives better results when crucial words are closer to the final representation .
Outcome: The proposed tree-based sentences have shown better results on many downstream tasks.

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