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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