# Four-category entity recognition

Flair's built-in standard English 4-category named entity recognition model, based on Flair embeddings and LSTM-CRF architecture, achieving an F1 score of 93.06 on the CoNLL-03 dataset.

Flair's built-in standard German 4-class NER model, based on Flair embeddings and LSTM-CRF architecture, achieves an F1 score of 87.94 on the German revised version of CoNLL-03.

Large-scale Spanish 4-class NER model included in the Flair framework, built on XLM-R embeddings and FLERT technology

Flair's built-in Dutch 4-category named entity recognition large model, based on XLM-R embeddings and FLERT technology, achieves an F1 score of 95.25 on the CoNLL-03 Dutch dataset.

BERT fine-tuned named entity recognition model capable of identifying four entity types: Location (LOC), Organization (ORG), Person (PER), and Miscellaneous (MISC)