Table 6.
The effect of different features on performance.
| Embedding Feature | F-Score | ||
|---|---|---|---|
| word | 69.57 | − | |
| word + position | 70.20 | +0.63 | |
| word + context + position | context trained by LSTM | 73.66 | +3.46 |
| context trained by BiLSTM | 75.48 | +5.28 | |
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