LMKE (Wang X. et al., 2022) and zrLLM (Ding Z. et al., 2024) utilize language models to derive knowledge embeddings, which enriches long-tail entity representation and addresses limitations found in description-based methods.

Authors

• Person: Not available Organization: Frontiers
  Practices, opportunities and challenges in the fusion of knowledge ...

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• Practices, opportunities and challenges in the fusion of knowledge ... www.frontiersin.org Frontiers via serper

Referenced by nodes (1)

• Language Model concept