Jiang et al. (2021) proposed LNN-EL (Logical Neural Network-Entity Linking), an entity link prediction method that converts logical rules into the network structure of a Logical Neural Network to solve entity linking in short texts.

Authors

• Person: Not available Organization: arXiv
  Neuro-Symbolic AI: Explainability, Challenges, and Future Trends

Sources

• Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv via serper

Referenced by nodes (2)

• entity linking concept
• Logical Neural Networks concept