Table 4 Comparison of experimental results of different methods of correcting English compositions.
From: Scoring method of English composition integrating deep learning in higher vocational colleges
Data set | DLIECG method | RNN | BiLSTM | MLIS |
|---|---|---|---|---|
P-1 | 0.980 | 0.680 | 0.820 | 0.870 |
P-2 | 0.890 | 0.600 | 0.750 | 0.810 |
P-3 | 0.710 | 0.650 | 0.690 | 0.680 |
P-4 | 0.920 | 0.650 | 0.770 | 0.790 |
P-5 | 0.900 | 0.720 | 0.780 | 0.820 |
Correct online machine evaluation data | 0.850 | 0.680 | 0.760 | 0.800 |