Hyper Relational Extraction On Hyperred
Metrics
Avg. F1
Results
Performance results of various models on this benchmark
Model Name | Avg. F1 | Paper Title | Repository |
|---|---|---|---|
| Text2NKG | 83.81 | Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction | |
| Generative Baseline | 62.03 | A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach | |
| Pipeline Baseline | 62.75 | A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach | |
| CubeRE | 65.04 | A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach |
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