Better Intent Classification And Entity Extraction with DIETClassifier Pipeline Optimization

Nathan Zylbersztejn
Better Intent Classification And Entity Extraction with DIETClassifier Pipeline Optimization
Rasa's DIETClassifier provides state of the art performance for intent classification and entity extraction. You will learn how this algorithm works and how to adapt the NLU pipeline to the specifics of your project and get the best performance out of itContinue

How intent classification works in NLU

Nathan Zylbersztejn
How intent classification works in NLU
If you’re building a Chatbot, you are probably using a Natural Language Understanding system to get intents and entities from utterances. Popular NLU Saas include DialogFlow from Google, LUIS from Microsoft, or Wit from Facebook.Continue

A no-code approach to Rasa forms, FormAction and FormPolicy

Nathan Zylbersztejn
A no-code approach to Rasa forms, FormAction and FormPolicy
Learn how to create conversational forms or slot filling flows without a single line of code with Botfront. You will go through all the necessary steps to create a resilient form, allowing digression, side questions and natural interactions you generally expect when answering a series of questions.Continue

Create Rasa stories and NLU examples at the same time with Botfront 0.22

Nathan Zylbersztejn
Create Rasa stories and NLU examples at the same time with Botfront 0.22
With Botfront 0.22 you can create Rasa conversational dataset much faster: you can create stories and add relevant NLU examples at the same time. Just click on the user utterance and add as many examples as you need, right from the visual story editor.Continue