Papers with commonsense-grounded
Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion (2021.tacl-1)
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| Challenge: | Existing approaches focus on generating concepts that have direct and obvious relationships with existing concepts and lack an ability to generate unobvious concepts. |
| Approach: | They propose a general graph-to-paths pretraining framework that leverages high-order structures in CKGs to capture high-level relationships between concepts. |
| Outcome: | The proposed framework can capture high-order relationships between concepts in four special cases: long path, path-to-path, router, and graph-node-path. |