Papers with constituency-based models

1 papers
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models (2024.acl-long)

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Challenge: Syntactic Transformer language models aim to achieve better generalization through simultaneously modeling syntax trees and sentences.
Approach: They propose a class of Transformer language models with explicit dependency-based inductive bias.
Outcome: Experiments show that the proposed models outperform constituency-based models on sentences annotated with dependency trees and achieve better generalization.

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