How not to miss the Chatbot train in 2017 – Chatbots Life

The NLU component's only job is to extract meaning from user input. In the above example, the user intends to control heating, and 70 and bedroom are the entities required to complete the action suggested by the intent. The entities are dependent on the intent, for example, you would only want a location and a cuisine if the user intends to look up a restaurant, not if the user is asking to add a reminder. These sentences, which the user can express in different ways but have the same meaning for the bot, are called Expressions. Now how does the bot work with all these intricacies of the human language?