CNN+Lowercased

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 ClassificationonOhsumed
Accuracy· 2017-07-06
36.2
best: 72.8 (RoBERTaGCN)
SOTA
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis arXiv:1707.01780

Methodology1 result

ClassificationonOhsumed
Accuracy· 2017-07-06
36.2
best: 72.8 (RoBERTaGCN)
SOTA
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis arXiv:1707.01780