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Cross Lingual Ner On Conll German

Metrics

F1

Results

Performance results of various models on this benchmark

Paper Title
SMTS Multi sim75.33Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
SMTS Multi avg74.97Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
UniTrans74.82UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
XLM-R large74.5Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
SMTS Single73.22Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Meta-Cross73.16Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Zero shot mBERT 372.44Towards Lingua Franca Named Entity Recognition with BERT
Base Model70.79Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
mBERT69.56Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
MAN-MoE+CharCNN+UMWE56Multi-Source Cross-Lingual Model Transfer: Learning What to Share
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Cross Lingual Ner On Conll German | SOTA | HyperAI