Research Article
A Multichannel Biomedical Named Entity Recognition Model Based on Multitask Learning and Contextualized Word Representations
Table 4
Performance comparison of each representations.
| JNLPBA | Precision | Recall | F1-score | | NCBI-disease | Precision | Recall | F1-score | |
| Ours | 72.6 | 79.6 | 76.0 | ā | Ours | 88.2 | 89.2 | 88.7 | ā | ELMo | 69.8 | 76.8 | 73.1 | 2.9 | ELMo | 83.8 | 85.4 | 84.6 | 4.1 | Char | 66.9 | 71.9 | 69.3 | 6.7 | Char | 83.7 | 80.6 | 82.1 | 6.6 | Word | 69.9 | 75.5 | 72.6 | 3.4 | Word | 84.2 | 80.9 | 82.5 | 6.2 | ELMo+Char | 71.5 | 76.4 | 73.8 | 2.2 | ELMo+Char | 86.0 | 85.5 | 85.7 | 3.0 | Word+Char | 68.9 | 77.6 | 73.0 | 3.0 | Word+Char | 84.2 | 85.1 | 84.7 | 4.0 | Word+ELMo | 70.1 | 77.5 | 73.6 | 2.4 | Word+ELMo | 84.5 | 86.0 | 85.3 | 3.4 | Word+ELMo+Char | 71.4 | 77.8 | 74.4 | 1.6 | Word+ELMo+Char | 87.2 | 85.9 | 86.6 | 2.1 |
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