Cell Entity Annotation On Biodivtab
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F1 (%)
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이 벤치마크에서 각 모델의 성능 결과
모델 이름 | F1 (%) | Paper Title | Repository |
|---|---|---|---|
| JenTab | 60.2 | JenTab Meets SemTab 2021's New Challenges | |
| TSOTSA | 79 | Towards an Approach based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph Matching | |
| KGCODE-Tab | 91.1 | KGCODE-Tab Results for SemTab 2022 | - |
| DAGOBAH | 62 | DAGOBAH: Table and Graph Contexts for Efficient Semantic Annotation of Tabular Data | - |
| MAGIC | 10 | MAGIC: Mining an Augmented Graph using INK, starting from a CSV |
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