kNN-KGE (Wang P. et al., 2023) uses a pre-trained language model and k-nearest neighbors to perform linear interpolation of entity distributions, which are calculated based on the distance between entity embeddings and knowledge storage.

Authors

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

Sources

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

Referenced by nodes (1)

• pre-trained language models concept