Sentence Pair Modeling on Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)
Metric: F1 (higher is better)
LeaderboardDataset
Results
Submit a result| # | Model↕ | F1▼ | 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, original corpus") | 89.75 | No | - | - | - |
| 2 | SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus") | 89.3 | No | - | - | - |
| 3 | SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus") | 89.3 | No | - | - | - |
| 4 | BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus") | 86.8 | No | - | - | - |
| 5 | BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus") | 84.21 | No | - | - | - |