Table 3.
Impact of Unary-Network and Pairwise-Network in terms of the F1-score (%)
| Settings | BC5CDR-Chemical | BC5CDR-Disease | NCBI-Disease |
|---|---|---|---|
| Unary-CRF | 93.01 | 86.14 | 86.94 |
| Pairwise-CRF | 93.27 | 86.05 | 86.71 |
| Unary+Pairwise ensemble | 93.25 | 86.78 | 87.09 |
| DTranNER | 94.16 | 87.22 | 88.62 |
Note: “Unary-CRF” denotes a variant model excluding Pairwise-Network from DTranNER, “Pairwise-CRF” denotes a variant model excluding Unary-Network from DTranNER, and “Unary+Pairwise ensemble” is an ensemble model of “Unary-CRF” and “Pairwise-CRF.” In the ensemble model, “Unary-CRF” and “Pairwise-CRF” were independently trained, and they voted over the sequence predictions by their prediction scores