Dutch NER in Flair (large model) This is the large 4 class NER model for Dutch that ships with Flair. F1 Score: 95,25 (CoNLL 03 Dutch) Predicts 4 tags: tag meaning PER person name LOC location name ORG organization name MISC other name Based on document level XLM R embeddings and FLERT. Demo: How to use in Flair Requires: Flair ( pip install flair ) This yields the following output: So, the entities " George Washington " (labeled as a person ) and " Washington " (labeled as a location ) are found in the sentence " George Washington ging naar Washington ". Training: Script to train this model The following Flair script was used to train this model: Cite Please cite the following paper when using this model. Issues? The Flair issue tracker is available here.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy