SWEM-CRF

Reported on 2 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 Processing2 results

Named Entity Recognition (NER)onCoNLL 2000
F1· 2018-05-24
90.34
SOTA
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms arXiv:1805.09843
Named Entity Recognition (NER)onCoNLL 2003 (English)
F1· 2018-05-24
86.28
best: 94.6 (ACE + document-context)
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms arXiv:1805.09843