Optical Character Recognition2020en
reuters-21578
Dataset from Papers With Code
Metrics:accuracy, cer, wer, f1
Current State of the Art
ApproxRepSet
Unknown
97.17
accuracy
Top Models Performance Comparison
Top 3 models ranked by accuracy
Best Score
97.2
Top Model
ApproxRepSet
Models Compared
3
Score Range
4.5
accuracyPrimary
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | ApproxRepSet | 97.17 | Apr 2019 | |
| 2 | REL-RWMD k-NN | 95.61 | Dec 2019 | |
| 3 | Orthogonalized Soft VSM | 92.65 | Mar 2020 |
f1
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | MAGNET | 89.9 | MAGNET: Multi-Label Text Classification using Attention-based Graph Neural NetworkCode | Feb 2020 |
| 2 | VLAWE | 89.3 | Feb 2019 | |
| 3 | KD-LSTMreg | 88.9 | Apr 2019 | |
| 4 | LSTM-reg (single model) | 87 | Rethinking Complex Neural Network Architectures for Document ClassificationCode | Jun 2019 |
| 5 | SCDV-MS | 82.71 | Nov 2019 |
Related Papers6
Text classification with word embedding regularization and soft similarity measure
Mar 2020Models: Orthogonalized Soft VSM
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings
Dec 2019Models: REL-RWMD k-NN
Improving Document Classification with Multi-Sense Embeddings
Nov 2019Models: SCDV-MS
DocBERT: BERT for Document Classification
Apr 2019Models: KD-LSTMreg
Rep the Set: Neural Networks for Learning Set Representations
Apr 2019Models: ApproxRepSet