Update README.md

README.md

@@ -25,7 +25,7 @@ This model was pretrained from scratch using a custom vocabulary on the followin
 - Clinical trials corpus
 - and a small subset of Bookcorpus
 
-This pretrained model was used to do NER as is, **with no fine-tuning** as described [in this post](https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html).  [Towards Data Science review](https://twitter.com/TDataScience/status/1486300137366466560?s=20) 
+The pretrained model was used to do NER **as is, with no fine-tuning**. The approach is described [in this post](https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html).  [Towards Data Science review](https://twitter.com/TDataScience/status/1486300137366466560?s=20) 
 
 [Github link](https://github.com/ajitrajasekharan/unsupervised_NER) to perform NER using this model in an ensemble with bert-base cased.
 
@@ -33,8 +33,12 @@ The ensemble detects 69 entity subtypes (17 broad entity groups)
 
  <img src="https://ajitrajasekharan.github.io/images/1.png" width="600">
  
-**Ensemble model performance**
+### Ensemble model performance
 
  <img src="https://ajitrajasekharan.github.io/images/6.png" width="600">
  
+### License
+
+MIT license
+