flair/ner-english-fast

This is the fast 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 (F1-Score: 92,92 (corrected CoNLL-03) The following paper will be published in the International Computational Linguistic Linguistics Conference on 27 July 27, 2018, on the topic of the Computational Computational Conference on Computational Embeddings and the International Conference of Linguists on Embedding. The paper is available to download here,