Source : https://core.rasa.com/tutorial_basics.html#tutorial-basics
Domain : Defines the universe, the bots lifes in, consists of Intent, actions, templates, Slots, Entities
Intents : Things we expect users to say / request from the bot
Actions : Things the bot can do and say
Templates : template strings for the things your bot can say
Slots : information to keep track of during a conversation (e.g. a users age), can update during conversation
Entities : Pieces of information extracted form Text
Slots : store information like
Stories : Chat scenarios the bot can learn actions from
Rasa uses the Intent and the entities, to find the most fitting action to execute.
An interpreter performs Natural Language Understanding, by parsing incoming messages. We define the data in data/NLU.md .
We need to define the configurartion of the NLU Model , which has the attributes pipeline, path, data .
Last updated 7 years ago
