Papers with target parser

2 papers
Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders (2020.findings-emnlp)

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Challenge: Existing work on cross-lingual adaptation of dependency parsers without annotated target corpora focuses on discriminative source parser ignoring unannotated corporata .
Approach: They propose to use unsupervised discriminative parsers to adapt dependency parser to unannotated target corpora without a supervised generative parsing method.
Outcome: The proposed method significantly outperforms previous methods.
Simple and Effective Graph-to-Graph Annotation Conversion (2022.coling-1)

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Challenge: Existing work on graph-structured annotation conversions has focused on feature-based models which are not easily applicable to new conversions.
Approach: They propose two graph-to-graph conversion approaches which use pseudo data and inherit parameters to guide conversions respectively.
Outcome: The proposed approaches outperform strong baselines with higher conversion score on a graph-structured dataset and other datasets.

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