Papers with KG construction framework

1 papers
Can LLMs be Good Graph Judge for Knowledge Graph Construction? (2025.emnlp-main)

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Challenge: Existing methods for converting unstructured text into structured Knowledge Graphs (KGs) have limitations such as large amount of noise, inaccurate knowledge, and hallucination .
Approach: They propose a GraphJudge framework to reduce noise in real-world documents . they propose Graphjudge to fine-tune a LLM as a graph judge to enhance quality .
Outcome: The proposed framework eliminates noise in real-world documents and improves the quality of generated KGs.

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