Liang et al. (2020) proposed a two-stage method for Named Entity Recognition using distant supervision: first, fine-tuning a Large Language Model (LLM) on distant supervision labels, followed by teacher-student system self-training using pseudo soft labels to improve performance.

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)

• Named Entity Recognition (NER) concept
• distant supervision concept