Large Language Model-based Knowledge Graph construction methods comparison
收藏DataCite Commons2023-08-17 更新2025-04-16 收录
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https://orkg.org/comparison/R605910/
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资源简介：
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.
提供机构：
Open Research Knowledge Graph
创建时间：
2023-08-17
