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Cross Lingual Ner On Conll Dutch

Metrics

F1

Results

Performance results of various models on this benchmark

Paper Title
Zero shot mBERT 383.35Towards Lingua Franca Named Entity Recognition with BERT
UniTrans82.9UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
SMTS Multi sim81.33Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
SMTS Single80.89Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
SMTS Multi avg80.7Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Meta-Cross80.44Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
XLM-R large79.7Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
Base Model79.57Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
mBERT77.57Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
MAN-MoE+CharCNN+UMWE72.4Multi-Source Cross-Lingual Model Transfer: Learning What to Share
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Cross Lingual Ner On Conll Dutch | SOTA | HyperAI