Named Entity Recognition On Genia
Metriken
F1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | F1 |
|---|---|
| a-boundary-aware-neural-model-for-nested | 74.7 |
| named-entity-recognition-as-dependency | 80.5 |
| nested-named-entity-recognition-via-second | 77.36 |
| deepstruct-pretraining-of-language-models-for-1 | 80.2 |
| nested-named-entity-recognition-via-second | 77.19 |
| bipartite-flat-graph-network-for-nested-named | 76.0 |
| neural-architectures-for-nested-ner-through-1 | 78.31 |
| sequence-to-nuggets-nested-entity-mention | 74.8 |
| universalner-targeted-distillation-from-large | 77.54 |
| a-neural-transition-based-model-for-nested | 73.9 |
| deepstruct-pretraining-of-language-models-for-1 | 80.8 |
| deepstruct-pretraining-of-language-models-for-1 | 47.2 |
| a-neural-layered-model-for-nested-named | 74.7 |
| neural-segmental-hypergraphs-for-overlapping | 75.1 |