fastText (skip-gram, max pooling)

Reported on 2 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing1 result

Sentence EmbeddingsonBIOSSES
Pearson Correlation· 2021-10-01
0.766
best: 0.871 (Supervised combination of: Jaccard, Q-gram, sent2vec, Paragraph vector DM, skip-thoughts, fastText)
Neural sentence embedding models for semantic similarity estimation in the biomedical domain arXiv:2110.15708

Methodology1 result

Representation LearningonBIOSSES
Pearson Correlation· 2021-10-01
0.766
best: 0.871 (Supervised combination of: Jaccard, Q-gram, sent2vec, Paragraph vector DM, skip-thoughts, fastText)
Neural sentence embedding models for semantic similarity estimation in the biomedical domain arXiv:2110.15708