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Word Similarity On Ws353
Metrics
Spearman's Rho
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| 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 |
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