Papers with external parsers

2 papers
Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations (2022.naacl-srw)

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Challenge: Existing tree-based models require handannotated data to be trained.
Approach: They propose a tree-based model that learns its composition function together with its structure.
Outcome: The proposed model outperforms existing models on downstream tasks and is competitive with Bert base model.
Leveraging Grammar Induction for Language Understanding and Generation (2024.findings-emnlp)

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Challenge: Existing grammar induction methods do not provide sufficient performance in downstream tasks.
Approach: They propose an unsupervised grammar induction method for language understanding and generation using a grammar parser and a syntactic mask.
Outcome: The proposed method performs better on from-scratch and pre-trained scenarios.

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