Update README.md

README.md

@@ -6,7 +6,7 @@ training an intent classifier or a slot tagger, for example, we can ask the mode
 slot-related questions in natural language: 
 
 ```
-Context : I'm looking for a cheap flight to Boston.
+Context : Yes. No. I'm looking for a cheap flight to Boston.
 
 Question: Is the user looking to book a flight?
 Answer  : Yes
@@ -21,6 +21,8 @@ Question: Where is the user flying from?
 Answer  : (empty)
 ```
 
+Note the "Yes. No. " prepended in the context. Those are to allow the model to answer intent-related questions (`Is the user looking for a restaurant?`).
+
 Thus, by asking questions for each intent and slot in natural language, we can effectively construct an NLU hypothesis. For more details, please read the paper: [Language model is all you need: Natural language understanding as question answering](https://assets.amazon.science/33/ea/800419b24a09876601d8ab99bfb9/language-model-is-all-you-need-natural-language-understanding-as-question-answering.pdf).
 
 ## Model training