Research Article
Persian Named Entity Recognition by Gray Wolf Optimization Algorithm
Table 2
Comparing three gold-standards (GS 1, GS 2, and GS 3) with each other.
| Gold-standard | GS1 | GS2 | GS3 | GS-average |
| Compared with | GS2 | GS3 | GS1 | GS3 | GS1 | GS2 | ā | Partial | Precision | 0.584 | 0.450 | 0.735 | 0.541 | 0.630 | 0.633 | 0.595 | Recall | 0.703 | 0.605 | 0.595 | 0.621 | 0.442 | 0.544 | 0.585 | F1 | 0.638 | 0.516 | 0.658 | 0.578 | 0.519 | 0.585 | 0.582 | Exact | Precision | 0.481 | 0.320 | 0.670 | 0.418 | 0.533 | 0.530 | 0.492 | Recall | 0.579 | 0.430 | 0.543 | 0.480 | 0.373 | 0.455 | 0.477 | F1 | 0.525 | 0.367 | 0.6 | 0.447 | 0.439 | 0.489 | 0.478 |
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The bold values show the highest and lowest results.
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