Optical Character Recognition2020en
imdb-m
Dataset from Papers With Code
Metrics:accuracy, cer, wer, f1
Current State of the Art
Document Classification Using Importance of Sentences
Unknown
54.8
accuracy
accuracy Progress Over Time
Showing 2 breakthroughs from Jun 2019 to Mar 2021
Key Milestones
Jun 2019
LSTM-reg (single model)
From paper: Rethinking Complex Neural Network Architectures for Document Classification
52.8
Mar 2021
Document Classification Using Importance of SentencesCurrent SOTA
From paper: Improving Document-Level Sentiment Classification Using Importance of Sentences
54.8
+3.8%
Total Improvement
3.8%
Time Span
1y 9m
Breakthroughs
2
Current SOTA
54.8
accuracyPrimary
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | Document Classification Using Importance of Sentences | 54.8 | Mar 2021 | |
| 2 | LSTM-reg (single model) | 52.8 | Rethinking Complex Neural Network Architectures for Document ClassificationCode | Jun 2019 |
Related Papers1
Improving Document-Level Sentiment Classification Using Importance of Sentences
Mar 2021Models: Document Classification Using Importance of Sentences