HAN (Hierarchical Attention Network)

Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Natural Language Processing1 result

Text ClassificationonOneStopEnglish (Readability Assessment)
Accuracy (5-fold)· 2019-07-26
0.787
best: 0.99 (RoBERTa-RF-T1 hybrid)
SOTA
Supervised and Unsupervised Neural Approaches to Text Readability arXiv:1907.11779

Methodology1 result

ClassificationonOneStopEnglish (Readability Assessment)
Accuracy (5-fold)· 2019-07-26
0.787
best: 0.99 (RoBERTa-RF-T1 hybrid)
SOTA
Supervised and Unsupervised Neural Approaches to Text Readability arXiv:1907.11779