AESINER

Reported on 6 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 Processing6 results

Named Entity Recognition (NER)onWNUT 2016
F1· 2020-10-29
55.14
best: 59.5 (HGN)
SOTA
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information arXiv:2010.15466
Named Entity Recognition (NER)onOntonotes v5 (English)
F1· 2020-10-29
90.32
best: 92.07 (BERT-MRC+DSC)
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information arXiv:2010.15466
Named Entity Recognition (NER)onWNUT 2017
F1· 2020-10-29
50.68
best: 60.45 (CL-KL)
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information arXiv:2010.15466
Named Entity Recognition (NER)onWeibo NER
F1· 2020-10-29
69.78
best: 72.77 (BERT-CRF (Replicated in AdaSeq))
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information arXiv:2010.15466
Named Entity Recognition (NER)onResume NER
F1· 2020-10-29
96.62
best: 96.87 (BERT-CRF (Replicated in AdaSeq))
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information arXiv:2010.15466
Named Entity Recognition (NER)onOntoNotes 4
F1· 2020-10-29
81.18
best: 84.47 (BERT-MRC+DSC)
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information arXiv:2010.15466