Question Answering on CODAH (test)
85.79AccuracySALKG-Coarse
Evaluation Results
| Method | Links | |
|---|---|---|
| SALKG-CoarseBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 85.79 | |
| SALKG-CoarseBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 85.43 | |
| SALKG-HybridBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 85.17 | |
| No-KG + KGBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 84.69 | |
| RANDOM-CoarseBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 84.68 | |
| SALKG-HybridBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 84.42 | |
| No-KG + KGBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 84.08 | |
| SALKG-FineBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 84.08 | |
| KGBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 84.02 | |
| KGBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 84.02 | |
| No-KGBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 83.96 | |
| No-KGBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 83.96 | |
| RANDOM-HybridBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 83.86 | |
| RANDOM-HybridBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 83.75 | |
| RANDOM-CoarseBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 83.48 | |
| SALKG-FineBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 83.36 | |
| HEURISTIC-HybridBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 82.73 | |
| HEURISTIC-CoarseBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 82.64 | |
| HEURISTIC-FineBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 82.55 | |
| HEURISTIC-CoarseBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 82.52 | |
| HEURISTIC-FineBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 82.25 | |
| HEURISTIC-HybridBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 82.16 | |
| RANDOM-FineBackbone=RoBERTa, KG-augmented model architecture=PathGen2021.04 | 80.48 | |
| RANDOM-FineBackbone=RoBERTa, KG-augmented model architecture=MHGRN2021.04 | 74.77 |