Comparison
14 contributions
Large Language Model-based Knowledge Graph construction methods comparison
Knowledge graph construction provides a structured representation of knowledge within a specific domain. It helps to detect entities along with their relationships with each other. There are three major phases in knowledge graphs construction: 1) entity discovery, 2) coreference resolution, and 3) relation extraction. LLMs are playing an important role in all these phases. This comparison will explore the LLM-based knowledge graph construction methods.
Comparison update
ORKG Comparisons have changed. We have added new features and improved the user interface. Comparisons might look slightly different, but the comparison data itself remains unchanged.References
- Pan, S., Luo, L., Wang, Y., Chen, C., Wang, J., & Wu, X. (2023). Unifying Large Language Models and Knowledge Graphs: A Roadmap. arXiv preprint arXiv:2306.08302.