Table 4.
Publications | Models | Precision (%) | Recall (%) | F-measure (%) |
---|---|---|---|---|
Rink et al. [33] | SVM | 67.44 | 57.85 | 59.31 |
Sahu te al. [19] | Multi-CNN-Max | 55.73 | 50.08 | 49.42 |
Sahu and Anand [34] | LSTM-ATT | 65.23 | 56.77 | 60.04 |
Wang et al. [35] | RCNN | 50.07 | 45.34 | 46.47 |
Raj et al. [20] | CRNN | 67.91 | 61.98 | 64.38 |
*Luo et al. [21] | Seg-CNN | – | – | 74.20 |
Our model | 75.69 | 73.03 | 74.34 |
*Luo et al. used the original dataset from the challenge (871 documents in total)