From: Neural sentence embedding models for semantic similarity estimation in the biomedical domain
Sent2vec | Skip-thoughts | PV-DM | PV-DBOW | fastText CBOW | fastText skip-gram | |
---|---|---|---|---|---|---|
Subset of highly similar sentences (n = 11) | 0.706 | 0.899 | 0.652 | 0.568 | 0.938 | 0.971 |
Negation subset (n = 13) | 0.967 | 0.999 | 0.930 | 0.936 | 0.945 | 0.979 |
Antonym subset (n = 7) | 0.983 | 0.999 | 0.968 | 0.960 | 0.976 | 0.989 |