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Reported on 5 benchmarks across 1 task · 1 paper · 1 SOTA

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)onBC5CDR
F1· 2022-08-30
91.9
SOTA
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning arXiv:2208.14565
Named Entity Recognition (NER)onJNLPBA
F1· 2022-08-30
80.3
best: 82 (KeBioLM)
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning arXiv:2208.14565
Named Entity Recognition (NER)onACE 2005
F1· 2022-08-30
89.5
best: 90.9 (Ours: cross-sentence ALB)
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning arXiv:2208.14565
Named Entity Recognition (NER)onACE 2004
F1· 2022-08-30
88.7
best: 90.3 (Ours: cross-sentence ALB)
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning arXiv:2208.14565
Named Entity Recognition (NER)onGENIA
F1· 2022-08-30
80.5
best: 81.77 (PIQN)
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning arXiv:2208.14565