Qian et al. (2020) proposed a method for disambiguating entity names using non-annotated examples, Distant Supervision (DS) to generate pseudo labels, and active learning to address deep learning model data requirements, which involves ranking predictions by model confidence and involving users in labeling top and bottom elements.

Authors

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

Sources

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

Referenced by nodes (2)

• deep learning concept
• distant supervision concept