XLM-RoBERTa base Universal Dependencies v2.8 POS tagging: Dutch
This model is part of our paper called:
- Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages
Check the Space for more details.
Usage
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-nl")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-nl")
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Dataset used to train wietsedv/xlm-roberta-base-ft-udpos28-nl
Space using wietsedv/xlm-roberta-base-ft-udpos28-nl 1
Evaluation results
- English Test accuracy on Universal Dependencies v2.8self-reported88.800
- Dutch Test accuracy on Universal Dependencies v2.8self-reported97.000
- German Test accuracy on Universal Dependencies v2.8self-reported89.000
- Italian Test accuracy on Universal Dependencies v2.8self-reported89.900
- French Test accuracy on Universal Dependencies v2.8self-reported88.100
- Spanish Test accuracy on Universal Dependencies v2.8self-reported90.500
- Russian Test accuracy on Universal Dependencies v2.8self-reported89.200
- Swedish Test accuracy on Universal Dependencies v2.8self-reported90.700
- Norwegian Test accuracy on Universal Dependencies v2.8self-reported87.600
- Danish Test accuracy on Universal Dependencies v2.8self-reported89.000