Papers with SKBs
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 . |
Automatic Construction of Sememe Knowledge Bases via Dictionaries (2021.findings-acl)
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| Challenge: | Sememe knowledge bases (SKBs) are used to analyze natural language processing. |
| Approach: | They propose a method to build sememe knowledge bases from an existing dictionary . they propose to use existing dictionaries to build an English and a French SKB . |
| Outcome: | The proposed method is superior to HowNet, the most widely used SKB that takes decades to build manually. |