BARTNER

Reported on 5 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing5 results

Named Entity Recognition (NER)onOntonotes v5 (English)
F1· 2021-06-02
90.38
best: 92.07 (BERT-MRC+DSC)
A Unified Generative Framework for Various NER Subtasks arXiv:2106.01223
Named Entity Recognition (NER)onCoNLL 2003 (English)
F1· 2021-06-02
93.24
best: 94.6 (ACE + document-context)
A Unified Generative Framework for Various NER Subtasks arXiv:2106.01223
Named Entity Recognition (NER)onACE 2005
F1· 2021-06-02
84.74
best: 90.9 (Ours: cross-sentence ALB)
A Unified Generative Framework for Various NER Subtasks arXiv:2106.01223
Named Entity Recognition (NER)onACE 2004
F1· 2021-06-02
86.84
best: 90.3 (Ours: cross-sentence ALB)
A Unified Generative Framework for Various NER Subtasks arXiv:2106.01223
Named Entity Recognition (NER)onGENIA
F1· 2021-06-02
79.23
best: 81.77 (PIQN)
A Unified Generative Framework for Various NER Subtasks arXiv:2106.01223