Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAi3-7BjUscGb3eLHOq1fWH2M5_MKQnXgPu7vRUsdJ3ww/assertion>. }
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- IText2KG type Workflow assertion.
- KGGen type Workflow assertion.
- arXiv.2411.17388 type Entity assertion.
- GraphJudge type Workflow assertion.
- PiVe type Workflow assertion.
- RAKG type Workflow assertion.
- IText2KG label "iText2KG" assertion.
- KGGen label "KGGen" assertion.
- GraphJudge label "GraphJudge" assertion.
- PiVe label "PiVe" assertion.
- RAKG label "RAKG" assertion.
- GraphJudge comment "GraphJudge is a framework designed to enhance Knowledge Graph Construction quality. It employs a closed-source LLM for initial entity-centric text denoising and triple extraction, then fine-tunes an open-source LLM to act as a "graph judge" for verifying and filtering the correctness of the extracted triples, addressing issues like noise, domain-specific inaccuracies, and hallucinations in KG construction." assertion.
- arXiv.2411.17388 describes GraphJudge assertion.
- arXiv.2411.17388 discusses IText2KG assertion.
- arXiv.2411.17388 discusses KGGen assertion.
- arXiv.2411.17388 discusses PiVe assertion.
- arXiv.2411.17388 discusses RAKG assertion.
- GraphJudge subject LLMAugmentedKGConstruction assertion.
- arXiv.2411.17388 title "Can LLMs be Good Graph Judge for Knowledge Graph Construction?" assertion.
- GraphJudge hasTopCategory LLMAugmentedKG assertion.