BERT + SVM (with Handcrafted Features)

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

Text ClassificationonWeeBit (Readability Assessment)
Accuracy (5-fold)· 2020-05-30
0.838
best: 0.927 (BERT-FP-LBL)
Linguistic Features for Readability Assessment arXiv:2006.00377

Methodology1 result

ClassificationonWeeBit (Readability Assessment)
Accuracy (5-fold)· 2020-05-30
0.838
best: 0.927 (BERT-FP-LBL)
Linguistic Features for Readability Assessment arXiv:2006.00377