Multi-instance learning is not data-efficient, leading to recent extensions into contrastive learning setups that aim to cluster sentences with the same relational triples and separate those with different triples in the semantic embedding space (Chen et al., 2021; Li et al., 2022a).

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• Person: Not available Organization: Frontiers
  Combining large language models with enterprise knowledge graphs

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• Combining large language models with enterprise knowledge graphs www.frontiersin.org Frontiers via serper

Referenced by nodes (1)

• contrastive learning concept