Sentence Embeddings For Biomedical Texts On
Métriques
Pearson Correlation
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Pearson Correlation |
|---|---|
| biosentvec-creating-sentence-embeddings-for | 0.345 |
| neural-sentence-embedding-models-for-semantic | 0.723 |
| biosses-a-semantic-sentence-similarity | 0.787 |
| neural-sentence-embedding-models-for-semantic | 0.804 |
| biosentvec-creating-sentence-embeddings-for | 0.350 |
| neural-sentence-embedding-models-for-semantic | 0.871 |
| neural-sentence-embedding-models-for-semantic | 0.798 |
| neural-sentence-embedding-models-for-semantic | 0.485 |
| neural-sentence-embedding-models-for-semantic | 0.766 |
| biosentvec-creating-sentence-embeddings-for | 0.795 |
| neural-sentence-embedding-models-for-semantic | 0.819 |
| neural-sentence-embedding-models-for-semantic | 0.846 |
| neural-sentence-embedding-models-for-semantic | 0.253 |
| biosentvec-creating-sentence-embeddings-for | 0.817 |