Cross-sentence context (CMV)

Reported on 3 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 Processing3 results

Named Entity Recognition (NER)onCoNLL 2003 (German)
F1· 2020-06-02
87.31
best: 88.38 (ACE + document-context)
SOTA
Exploring Cross-sentence Contexts for Named Entity Recognition with BERT arXiv:2006.01563
Named Entity Recognition (NER)onCoNLL 2002 (Spanish)
F1· 2020-06-02
88.32
best: 95.9 (ACE + document-context)
Exploring Cross-sentence Contexts for Named Entity Recognition with BERT arXiv:2006.01563
Named Entity Recognition (NER)onCoNLL 2002 (Dutch)
F1· 2020-06-02
93.49
best: 95.7 (ACE + document-context)
Exploring Cross-sentence Contexts for Named Entity Recognition with BERT arXiv:2006.01563