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We validate our approach for labeling missing relationships using only n = 10 labeled examples by evaluating our probabilistic labels from our semi-supervised approach over the fully-annotated VRD using macro metrics dataset [31],
| Model (n = 10) | Prec. | Recall | F1 | Acc. |
|---|---|---|---|---|
| RANDOM | 5.00 | 5.00 | 5.00 | 5.00 |
| DECISION TREE | 46.79 | 35.32 | 40.25 | 36.92 |
| LABEL PROPAGATION | 76.48 | 32.71 | 45.82 | 12.85 |
| OURS (MAJORITY VOTE) | 55.01 | 57.26 | 56.11 | 40.04 |
| OURS (CATEG. + SPAT.) | 54.83 | 60.79 | 57.66 | 50.31 |
