oh-CNN + two LSTM tv-embed.

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 ClassificationonRCV1
Accuracy· 2016-02-07
92.85
SOTA
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings arXiv:1602.02373

Methodology1 result

ClassificationonRCV1
Accuracy· 2016-02-07
92.85
SOTA
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings arXiv:1602.02373