Word Similarity on RW-STANFORD
0.4Spearman CorrelationW2G
Evaluation Results
| Method | Links | |
|---|---|---|
| W2GEmbedding Method=W2G, Training Corpus=ukWaC and WaCkypedia2018.10 | 0.4 | |
| GloVe+GTEmbedding Method=GloVe, Transform=Gaussian Transform, Refinement Corpus=text82018.10 | 0.38 | |
| GloVeEmbedding Method=GloVe2018.10 | 0.34 | |
| EllEmbedding Method=Ell, Training Corpus=ukWaC and WaCkypedia2018.10 | 0.29 | |
| HALO-CBOWembedding dimension=200, core vocabulary size=20000, Trainable Parameters=33,660,3222026.06 | 0.253 | |
| HALO-SGNSembedding dimension=200, core vocabulary size=20000, Trainable Parameters=33,660,3222026.06 | 0.253 | |
| W2V*text8Embedding Method=W2V, Training Corpus=text82018.10 | 0.25 | |
| HALO-CBOWembedding dimension=200, core vocabulary size=10000, Trainable Parameters=29,660,3222026.06 | 0.243 | |
| HALO-CBOWembedding dimension=200, core vocabulary size=30000, Trainable Parameters=37,660,3222026.06 | 0.233 | |
| CBOWembedding dimension=200, Trainable Parameters=200,000,0002026.06 | 0.203 | |
| GloVe*text8Embedding Method=GloVe, Training Corpus=text82018.10 | 0.2 | |
| CBOWembedding dimension=100, Trainable Parameters=100,000,0002026.06 | 0.192 | |
| CBOWembedding dimension=50, Trainable Parameters=50,000,0002026.06 | 0.162 |