MITIE trained NER models on the GMB 2.2.0 corpus

These models are the product of research undertaken under the 2017 APS Data Fellowship program. This collection included trained MITIE NER models that are ready for use with a standard MITIE library classifier. A summary Precision, Recall and F1 performance statistics table is included for future reference.\nLineage: Models in this collection were trained over the publically available GMB 2.2.0 corpus on the full 20 tags. The models also include the publically available MITIE total word feature extraction (TFE) CCA word embedding and morphological features dictionaries. The TFE dictionaries were trained on the LDC English language gigaword corpus.