HyperAI

Nested Named Entity Recognition On Ace 2004

Metrics

F1

Results

Performance results of various models on this benchmark

Comparison Table
Model NameF1
optimizing-bi-encoder-for-named-entity88.7
parallel-instance-query-network-for-named88.14
fusing-heterogeneous-factors-with-triaffine88.56
unified-named-entity-recognition-as-word-word87.52
an-embarrassingly-easy-but-strong-baseline88.03
nested-named-entity-recognition-via-second85.82
neural-architectures-for-nested-ner-through-184.40
boundary-smoothing-for-named-entity-187.98
promptner-prompt-locating-and-typing-for88.72
nested-named-entity-recognition-via-second84.97
fusing-heterogeneous-factors-with-triaffine87.40
nested-named-entity-recognition-via86.42
nested-named-entity-recognition-with86.6
boningknife-joint-entity-mention-detection86.41
multi-grained-named-entity-recognition79.5
nested-named-entity-recognition-via-second77.44
to-be-continuous-or-to-be-discrete-those-are87.93
locate-and-label-a-two-stage-identifier-for87.41
diffusionner-boundary-diffusion-for-named88.39
a-unified-generative-framework-for-various86.84
neural-segmental-hypergraphs-for-overlapping75.1
a-neural-transition-based-model-for-nested73.3
a-sequence-to-set-network-for-nested-named87.26
promptner-prompt-locating-and-typing-for88.16