Performance comparison (× 100) of six-word embedding baseline models against three concept categorization datasets
| Concept categorization datasets | |||
|---|---|---|---|
| AP | BLESS | BM | |
| SGNS | 68.2 | 81.0 | 46.6 |
| CBOW | 65.7 | 74.0 | 45.1 |
| GloVe | 61.4 | 82.0 | 43.6 |
| FastText | 59.0 | 73.0 | 41.9 |
| ngram2vec | 63.2 | 80.5 | 45.9 |
| Dict2vec | 66.7 | 82.0 | 46.5 |
| Concept categorization datasets | |||
|---|---|---|---|
| AP | BLESS | BM | |
| SGNS | 81.0 | ||
| CBOW | 65.7 | 74.0 | 45.1 |
| GloVe | 61.4 | 43.6 | |
| FastText | 59.0 | 73.0 | 41.9 |
| ngram2vec | 63.2 | 80.5 | 45.9 |
| Dict2vec | 66.7 | 46.5 | |
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