Papers with Syntax-BERT

1 papers
Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees (2021.eacl-main)

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Challenge: Pre-trained language models like BERT achieve superior performances in various NLP tasks without explicit consideration of syntactic information.
Approach: They propose a plug-and-play framework that incorporates syntax trees into pre-trained Transformers.
Outcome: The proposed framework improves on pre-trained models on natural language understanding datasets and shows that it can be used to train pre-structured neural networks.

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