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flair/ner-english

The flair/ner-english model is a machine learning model.

About flair/ner-english

This is the standard 4-class NER model for English that ships with Flair . Based on Flair embeddings and LSTM-CRF . Predicts 4 tags: "George Washington went to Washington" and "Washington" The model was used to train this model using Flair (default model) and run training scripts . The F1-Score: 93,06 (corrected CoNLL-03) is available in Flair for the first time . The model is based on the standard English NER for English . It is available to download and train using the Flair and GloVe versions of Flair software . The full version of this article is available,
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