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Cross Lingual Ner On Conll German

Metrics

F1

Results

Performance results of various models on this benchmark

Model Name
F1
Paper TitleRepository
mBERT69.56Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
XLM-R large74.5Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings-
SMTS Multi avg74.97Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Zero shot mBERT 372.44Towards Lingua Franca Named Entity Recognition with BERT-
MAN-MoE+CharCNN+UMWE56Multi-Source Cross-Lingual Model Transfer: Learning What to Share
SMTS Multi sim75.33Single-/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
Base Model70.79Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Meta-Cross73.16Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
SMTS Single73.22Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
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