Papers with sememe prediction studies

1 papers
Going “Deeper”: Structured Sememe Prediction via Transformer with Tree Attention (2022.findings-acl)

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Challenge: Existing studies ignore hierarchical structures of sememes in sememe-based semantic description systems.
Approach: They propose a structured sememe prediction problem to predict a sememes tree with hierarchical structures rather than a set of sememas.
Outcome: The proposed model outperforms baseline models and shows its effectiveness . it predicts a sememe tree with hierarchical structures rather than a set of sememes .

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