Papers with Label Switching

1 papers
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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