Relation Extraction tasks are often rephrased as question-answering (Levy et al., 2017), which involves injecting latent knowledge contained in relation labels into prompt construction (Chen et al., 2022) and iteratively fine-tuning prompts to enhance the model's ability to focus on semantic cues (Son 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 (2)

• Question Answering concept
• relation extraction concept