Update README.md

README.md

@@ -39,15 +39,16 @@ This model is limited by its training dataset of entity-annotated news articles
 This model was fine-tuned on English version of the standard [CoNLL-2003 Named Entity Recognition](https://www.aclweb.org/anthology/W03-0419.pdf) dataset. 
 
 The training dataset distinguishes between the beginning and continuation of an entity so that if there are back-to-back entities of the same type, the model can output where the second entity begins. As in the dataset, each token will be classified as one of the following classes:
+
 Abbreviation|Description
 -|-
 O|Outside of a named entity
 B-MIS |Beginning of a miscellaneous entity right after another miscellaneous entity
-I-MIS |Miscellaneous entity
+I-MIS | Miscellaneous entity
 B-PER |Beginning of a person’s name right after another person’s name
 I-PER |Person’s name
-B-ORG |Beginning of an organisation right after another organisation
-I-ORG |Organisation
+B-ORG |Beginning of an organization right after another organization
+I-ORG |organization
 B-LOC |Beginning of a location right after another location
 I-LOC |Location