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Models/SciNCL

SciNCL

Reported on 7 benchmarks across 4 tasks · 1 paper · 4 SOTA

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

Natural Language Processing4 results

Text ClassificationonSciDocs (MeSH)
F1 (micro)· 2022-02-14
88.7
SOTA
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings arXiv:2202.06671
Document ClassificationonSciDocs (MeSH)
F1 (micro)· 2022-02-14
88.7
SOTA
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings arXiv:2202.06671
Text ClassificationonSciDocs (MAG)
F1 (micro)· 2022-02-14
81.4
best: 82 (SPECTER)
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings arXiv:2202.06671
Document ClassificationonSciDocs (MAG)
F1 (micro)· 2022-02-14
81.4
best: 82 (SPECTER)
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings arXiv:2202.06671

Methodology3 results

Representation LearningonSciDocs
Avg.· 2022-02-14
81.8
SOTA
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings arXiv:2202.06671
ClassificationonSciDocs (MeSH)
F1 (micro)· 2022-02-14
88.7
SOTA
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings arXiv:2202.06671
ClassificationonSciDocs (MAG)
F1 (micro)· 2022-02-14
81.4
best: 82 (SPECTER)
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings arXiv:2202.06671