Sentence Embeddings For Biomedical Texts On 2
Metrics
Pearson Correlation
Results
Performance results of various models on this benchmark
Model Name | Pearson Correlation | Paper Title | Repository |
|---|---|---|---|
| BioSentVec (PubMed + MIMIC-III) | 0.767 | BioSentVec: creating sentence embeddings for biomedical texts | |
| BioSentVec (MIMIC-III) | 0.759 | BioSentVec: creating sentence embeddings for biomedical texts | |
| Universal Sentence Encoder | 0.714 | BioSentVec: creating sentence embeddings for biomedical texts | |
| BioSentVec (PubMed) | 0.750 | BioSentVec: creating sentence embeddings for biomedical texts |
0 of 4 row(s) selected.