Command Palette
Search for a command to run...
Word Similarity On Ws353
평가 지표
Spearman's Rho
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | ||
|---|---|---|
| Context-to-Vector | 78.9 | Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings |
| Bert2Vec | 72.8 | Improved Biomedical Word Embeddings in the Transformer Era |
| SkipGram | 61.0 | Enriching Word Vectors with Subword Information |
0 of 3 row(s) selected.