This will read an input file and create 2 folders:
1. Train - 70% of the data
2. Test - 30% of the data
3. Validation-10% of the data


Next, 7 NER taggers will be trained by keeping out 10% of data everytime. 
And Cross Validation accuracy for each will be calculated.

Later on ensemble will be used for averaging out the trained models