Update README.md

README.md

@@ -23,7 +23,9 @@ Resulting probabilities correspond to classes:
 * 1: It's a paraphrase
 
 
-You can use the model like this:
+
+So, considering the phrase "may be addressed" and a candidate paraphrase like "could be included", you can use the model like this:
+
 
 ```
 import torch
@@ -41,4 +43,5 @@ Code output is:
  ``` 
  tensor([[0.1592, 0.8408]], grad_fn=<SoftmaxBackward>) 
  ```
-As the probability of 1 is 0.84, we can conclude from the previous example that "could be included" is paraphrase of "may be addressed".
+
+As the probability of 1 (=It's a paraphrase) is 0.84 and the probability of 0 (=It is not a paraphrase) is 0.15, we can conclude, for our previous example that "could be included" is a paraphrase of "may be addressed".