Nested Mention Recognition On Ace 2005
Métriques
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1 | Paper Title | Repository |
|---|---|---|---|
| Neural transition-based model | 73.0 | A Neural Transition-based Model for Nested Mention Recognition | |
| Second-best learning and decoding | 84.34 | Nested Named Entity Recognition via Second-best Sequence Learning and Decoding | |
| Neural layered model | 72.2 | A Neural Layered Model for Nested Named Entity Recognition | |
| Neural segmental hypergraphs | 74.5 | Neural Segmental Hypergraphs for Overlapping Mention Recognition | |
| Merge and Label | 82.4 | Merge and Label: A novel neural network architecture for nested NER | |
| BiFlaG | 75.1 | Bipartite Flat-Graph Network for Nested Named Entity Recognition | |
| MGNER | 78.2 | Multi-Grained Named Entity Recognition | |
| BoningKnife | 85.46 | BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge | - |
| seq2seq+BERT+Flair | 84.33 | Neural Architectures for Nested NER through Linearization | |
| Anchor-Region Networks | 74.9 | Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks |
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