Multi-instance learning (MIL), as proposed by Zeng et al. (2015), is a method to address distant supervision noise in Relation Extraction (RE) that groups sentences into bags labeled as positive or negative with respect to a relation, shifting the task from single sentences to bags.

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)

• relation extraction concept
• distant supervision concept