BERT-CRF

Reported on 6 benchmarks across 1 task · 2 papers

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

Natural Language Processing6 results

Named Entity Recognition (NER)onSNAP (MNER)
F1· 2022-12-03
89.65
best: 91.1 (MoRe-MoE)
Named Entity and Relation Extraction with Multi-Modal Retrieval arXiv:2212.01612
Named Entity Recognition (NER)onTwitter-15
F1· 2022-12-03
77.04
best: 79.33 (PGIM)
Named Entity and Relation Extraction with Multi-Modal Retrieval arXiv:2212.01612
Named Entity Recognition (NER)onWikiDiverse
F1· 2022-12-03
76.58
best: 79.33 (MoRe-MoE)
Named Entity and Relation Extraction with Multi-Modal Retrieval arXiv:2212.01612
Named Entity Recognition (NER)onNCBI-disease
F1· 2021-11-06
84.5
best: 89.71 (BioBERT)
Focusing on Potential Named Entities During Active Label Acquisition arXiv:2111.03837
Named Entity Recognition (NER)onCoNLL 2003 (English)
F1· 2021-11-06
93.6
best: 94.6 (ACE + document-context)
Focusing on Potential Named Entities During Active Label Acquisition arXiv:2111.03837
Named Entity Recognition (NER)onBC5CDR
F1· 2021-11-06
86
best: 91.9 (BINDER)
Focusing on Potential Named Entities During Active Label Acquisition arXiv:2111.03837