Language Modelling on Annotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)
Metric: Precision (higher is better)
LeaderboardDataset
Results
Submit a result| # | Model↕ | Precision▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus") | 92.98 | No | - | - | - |
| 2 | SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus") | 91.3 | No | - | - | - |
| 3 | BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus") | 89.31 | No | - | - | - |
| 4 | SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus") | 89 | No | - | - | - |
| 5 | BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus") | 88.25 | No | - | - | - |