Sentence Embeddings For Biomedical Texts On 2
评估指标
Pearson Correlation
评测结果
各个模型在此基准测试上的表现结果
| 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 | |
| BioSentVec (PubMed) | 0.750 | BioSentVec: creating sentence embeddings for biomedical texts | |
| Universal Sentence Encoder | 0.714 | BioSentVec: creating sentence embeddings for biomedical texts |
0 of 4 row(s) selected.