Parallel Instance Query Network for Named Entity Recognition

Benchmark Model Rank Results
chinese-named-entity-recognition-on-msraPIQN#17F1: 93.48
named-entity-recognition-ner-on-conll-2003PIQN#32F1: 92.87
named-entity-recognition-ner-on-ontonotes-v5PIQN#6F1: 90.96
named-entity-recognition-on-ace-2004PIQN#2F1: 88.14Multi-Task Supervision: n
named-entity-recognition-on-ace-2005PIQN#4F1: 87.42
named-entity-recognition-on-few-nerd-supPIQN#2F1-Measure: 69.67Precision: 70.16Recall: 69.18
named-entity-recognition-on-few-nerd-supSequence-to-Set#4F1-Measure: 68.23Precision: 67.37Recall: 69.12
named-entity-recognition-on-few-nerd-supLocate and Label#5F1-Measure: 67.64Precision: 64.69Recall: 70.87
nested-named-entity-recognition-on-ace-2004PIQN#6F1: 88.14
nested-named-entity-recognition-on-ace-2005PIQN#3F1: 87.42
nested-named-entity-recognition-on-geniaPIQN#1F1: 81.77
nested-named-entity-recognition-on-nnePIQN#2Micro F1: 94.04
nested-named-entity-recognition-on-tac-kbpPIQN#3F1: 84.5