Named Entity Recognition On Genia

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	F1	Paper Title
Boundary-aware neural model	74.7	A Boundary-aware Neural Model for Nested Named Entity Recognition
Biaffine-NER	80.5	Named Entity Recognition as Dependency Parsing
Second-best learning and decoding + BERT + Flair	77.36	Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
DeepStruct multi-task	80.2	DeepStruct: Pretraining of Language Models for Structure Prediction
Second-best learning and decoding	77.19	Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
BiFlaG	76.0	Bipartite Flat-Graph Network for Nested Named Entity Recognition
seq2seq+BERT+Flair	78.31	Neural Architectures for Nested NER through Linearization
Anchor-Region Networks	74.8	Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
UniNER-7B	77.54	UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Neural transition-based model	73.9	A Neural Transition-based Model for Nested Mention Recognition
DeepStruct multi-task w/ finetune	80.8	DeepStruct: Pretraining of Language Models for Structure Prediction
Deepstruct zero-shot	47.2	DeepStruct: Pretraining of Language Models for Structure Prediction
Neural layered model	74.7	A Neural Layered Model for Nested Named Entity Recognition
Neural segmental hypergraphs	75.1	Neural Segmental Hypergraphs for Overlapping Mention Recognition

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