Human-in-the-loop (HITL) methods effectively handle scarce or sparse data for Named Entity Recognition (NER) (Shen et al., 2017), address mislabeling (Muthuraman et al., 2021), and enhance data processing, model training, and inference stages of the machine learning pipeline (Zhang et al., 2019; Klie et al., 2020; Wu et al., 2022).

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 (3)

• Named Entity Recognition (NER) concept
• human-in-the-loop concept
• machine learning concept