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Models/SCDV-MS

SCDV-MS

Reported on 11 benchmarks across 3 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 Processing6 results

Text Classificationon20NEWS
Precision· 2019-11-18
86.2
best: 87.1 (Sparse Tensor Classifier)
SOTA
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918
Text Classificationon20NEWS
Recall· 2019-11-18
86.18
best: 86.6 (Sparse Tensor Classifier)
SOTA
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918
Text Classificationon20NEWS
Accuracy· 2019-11-18
86.19
best: 93 (LinearSVM+TFIDF)
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918
Text Classificationon20NEWS
F-measure· 2019-11-18
86.16
best: 93 (LinearSVM+TFIDF)
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918
Text ClassificationonReuters-21578
F1· 2019-11-18
82.71
best: 89.9 (MAGNET)
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918
Document ClassificationonReuters-21578
F1· 2019-11-18
82.71
best: 89.9 (MAGNET)
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918

Methodology5 results

Classificationon20NEWS
Precision· 2019-11-18
86.2
best: 87.1 (Sparse Tensor Classifier)
SOTA
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918
Classificationon20NEWS
Recall· 2019-11-18
86.18
best: 86.6 (Sparse Tensor Classifier)
SOTA
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918
Classificationon20NEWS
Accuracy· 2019-11-18
86.19
best: 93 (LinearSVM+TFIDF)
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918
Classificationon20NEWS
F-measure· 2019-11-18
86.16
best: 93 (LinearSVM+TFIDF)
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918
ClassificationonReuters-21578
F1· 2019-11-18
82.71
best: 89.9 (MAGNET)
Improving Document Classification with Multi-Sense Embeddings arXiv:1911.07918