Named Entity Recognition On Ace 2004
المقاييس
F1
Multi-Task Supervision
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | F1 | Multi-Task Supervision |
|---|---|---|
| a-neural-transition-based-model-for-nested | 73.3 | n |
| a-frustratingly-easy-approach-for-joint | 90.3 | y |
| neural-segmental-hypergraphs-for-overlapping | 75.1 | n |
| boningknife-joint-entity-mention-detection | 86.41 | n |
| parallel-instance-query-network-for-named | 88.14 | n |
| neural-architectures-for-nested-ner-through-1 | 84.40 | n |
| multi-grained-named-entity-recognition | 79.5 | n |
| nested-named-entity-recognition-via-second | 85.82 | n |
| named-entity-recognition-as-dependency | 86.7 | n |