Papers with DynaSemble achievesstate-of-the-

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DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion (2024.acl-short)

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Challenge: Existing approaches to Knowledge Graph Completion use textual descriptions of the KG entities and relations to perform the task.
Approach: They propose a method to combine two popular approaches to Knowledge Graph Completion . structure-based models perform better when gold answer is easily reachable . textual models exploit textual descriptions to give good performance .
Outcome: The proposed method achieves 6.8 pt MRR and 8.3 pTits@1 gains over the best baseline model for WN18RR dataset.

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