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SOTA
Cross-Lingual NER
Cross Lingual Ner On Conll Dutch
Cross Lingual Ner On Conll Dutch
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Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
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Modellname
F1
Paper Title
Zero shot mBERT 3
83.35
Towards Lingua Franca Named Entity Recognition with BERT
UniTrans
82.9
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
SMTS Multi sim
81.33
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
SMTS Single
80.89
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
SMTS Multi avg
80.7
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Meta-Cross
80.44
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
XLM-R large
79.7
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
Base Model
79.57
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
mBERT
77.57
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
MAN-MoE+CharCNN+UMWE
72.4
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
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Cross Lingual Ner On Conll Dutch | SOTA | HyperAI