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SOTA
跨语言命名实体识别
Cross Lingual Ner On Conll German
Cross Lingual Ner On Conll German
评估指标
F1
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
F1
Paper Title
Repository
SMTS Multi sim
75.33
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
SMTS Multi avg
74.97
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
UniTrans
74.82
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
XLM-R large
74.5
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
SMTS Single
73.22
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Meta-Cross
73.16
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Zero shot mBERT 3
72.44
Towards Lingua Franca Named Entity Recognition with BERT
-
Base Model
70.79
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
mBERT
69.56
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
MAN-MoE+CharCNN+UMWE
56
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
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Cross Lingual Ner On Conll German | SOTA | HyperAI超神经