Cross Lingual Ner On Conll 2003
Métriques
Dutch
German
Spanish
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Dutch | German | Spanish | Paper Title | Repository |
|---|---|---|---|---|---|
| BiLSTM + CRF | 80.6 | 71.4 | 77.9 | - | - |
| BiLSTM + CRF | 69.9 | 61.5 | 74.5 | Entity Projection via Machine Translation for Cross-Lingual NER | |
| XLM-RoBERTa-large | 79.7 | 76.9 | 78.9 | Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment | - |
| XLM-RoBERTa-large | 82.3 | 74.5 | 79.5 | Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings | - |
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