- EnViBERT (cased) + BiLSTM + FFW
- EnViBERT (uncased) + BiLSTM + FFW
- XLMR + BiLSTM + FFW
- pytorch
- transformers
- tqdm
- numpy
- sklearn
- 28G dữ liệu báo
- 1G subfilm
- 50MB dữ liệu chatbot
Label | precision | recall | F1-score |
---|---|---|---|
O |
0.98 | 0.98 | 0.98 |
O. |
0.90 | 0.92 | 0.91 |
O, |
0.80 | 0.75 | 0.78 |
UPPER |
0.94 | 0.94 | 0.94 |
UPPER. |
0.90 | 0.92 | 0.91 |
UPPER, |
0.86 | 0.78 | 0.82 |
Label | precision | recall | F1-score |
---|---|---|---|
O |
0.98 | 0.98 | 0.98 |
O. |
0.92 | 0.93 | 0.93 |
O, |
0.82 | 0.76 | 0.79 |
UPPER |
0.94 | 0.95 | 0.95 |
UPPER. |
0.91 | 0.94 | 0.92 |
UPPER, |
0.88 | 0.80 | 0.83 |