LSTM + Lexicon augment

Reported on 4 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 Processing4 results

Named Entity Recognition (NER)onWeibo NER
F1· 2019-08-16
61.24
best: 72.77 (BERT-CRF (Replicated in AdaSeq))
Simplify the Usage of Lexicon in Chinese NER arXiv:1908.05969
Named Entity Recognition (NER)onMSRA
F1· 2019-08-16
93.5
best: 96.72 (BERT-MRC+DSC)
Simplify the Usage of Lexicon in Chinese NER arXiv:1908.05969
Named Entity Recognition (NER)onResume NER
F1· 2019-08-16
95.59
best: 96.87 (BERT-CRF (Replicated in AdaSeq))
Simplify the Usage of Lexicon in Chinese NER arXiv:1908.05969
Named Entity Recognition (NER)onOntoNotes 4
F1· 2019-08-16
75.54
best: 84.47 (BERT-MRC+DSC)
Simplify the Usage of Lexicon in Chinese NER arXiv:1908.05969