Research Article
A Multitask Deep Learning Framework for DNER
Table 4
Results of experiment in DDI2011 and DDI2013.
| System | DDI2011 | DDI2013 | Precision | Recall | F1 | Precision | Recall | F1 |
| UMCC_DLS | - | - | - | 24.00 | 57.00 | 34.00 | Hettne | 66.91 | 71.42 | 69.09 | 59.41 | 56.32 | 57.82 | Tsuruoka | 68.42 | 72.39 | 70.34 | 62.24 | 58.17 | 60.12 | WBI | 89.53 | 88.42 | 88.97 | 76.70 | 88.42 | 74.80 | LASIGE | 87.02 | 82.51 | 84.70 | 78.00 | 56.00 | 65.19 | Yang | 81.44 | 81.50 | 81.46 | 76.54 | 74.40 | 75.45 | Zeng | 93.26 | 91.11 | 92.17 | 83.60 | 77.81 | 79.26 | Liu | - | - | - | 87.46 | 75.22 | 80.88 | Multi-DTR | 94.36 | 92.13 | 93.22 | 85.56 | 81.45 | 83.45 |
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