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Conversational AI with Rasa

You're reading from  Conversational AI with Rasa

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801077057
Pages 264 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Xiaoquan Kong Xiaoquan Kong
Profile icon Xiaoquan Kong
LinkedIn
Xiaoquan is a machine learning expert specializing in NLP applications. He has extensive experience in leading teams to build NLP platforms in several Fortune Global 500 companies. He is a Google developer expert in Machine Learning and has been actively involved in contributions to TensorFlow for many years. He also has actively contributed to the development of the Rasa framework since the early stage and became a Rasa Superhero in 2018. He manages the Rasa Chinese community and has also participated in the Chinese localization of TensorFlow documents as a technical reviewer.
See other products by Xiaoquan Kong
Guan Wang Guan Wang
Profile icon Guan Wang
LinkedIn
Guan is currently working on Al applications and research for the insurance industry. Prior to that, he was a machine learning researcher at several industry Al labs. He was raised and educated in Mainland China, lived in Hong Kong for 10 years before relocating to Singapore in 2020. Guan holds BSc degrees in Physics and Computer Science from Peking University, and an MPhil degree in Physics from HKUST. Guan is an active tech blogger and community contributor to open source projects including Rasa, receiving more than10,000 stars for his own projects on Github.
See other products by Guan Wang
View More author details

Table of Contents (16) Chapters

Preface 1. Section 1: The Rasa Framework
2. Chapter 1: Introduction to Chatbots and the Rasa Framework 3. Chapter 2: Natural Language Understanding in Rasa 4. Chapter 3: Rasa Core 5. Section 2: Rasa in Action
6. Chapter 4: Handling Business Logic 7. Chapter 5: Working with Response Selector to Handle Chitchat and FAQs 8. Chapter 6: Knowledge Base Actions to Handle Question Answering 9. Chapter 7: Entity Roles and Groups for Complex Named Entity Recognition 10. Chapter 8: Working Principles and Customization of Rasa 11. Section 3: Best Practices
12. Chapter 9: Testing and Production Deployment 13. Chapter 10: Conversation-Driven Development and Interactive Learning 14. Chapter 11: Debugging, Optimization, and Community Ecosystem 15. Other Books You May Enjoy

Chapter 8: Working Principles and Customization of Rasa

In this chapter, we introduce the working principles behind Rasa. We will discuss exactly what happens after Rasa receives requests from its users. This is essential for you to understand how to debug a Rasa application, which we will discuss in Chapter 11, Debugging, Optimization, and the Community Ecosystem.

We will also learn how to extend and customize Rasa. Using detailed examples, you will learn to create and use custom components that allow you to use adapters or advanced features not included in Rasa. This will help you to create highly customized or complex chatbot applications.

In this chapter, we will cover the following topics:

  • Understanding Rasa's Natural Language Understanding (NLU) module
  • Understanding Rasa policies
  • Writing Rasa extensions
  • Practice: Creating your own custom English tokenizer
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Authors (2)

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Profile icon Xiaoquan Kong
LinkedIn
Xiaoquan is a machine learning expert specializing in NLP applications. He has extensive experience in leading teams to build NLP platforms in several Fortune Global 500 companies. He is a Google developer expert in Machine Learning and has been actively involved in contributions to TensorFlow for many years. He also has actively contributed to the development of the Rasa framework since the early stage and became a Rasa Superhero in 2018. He manages the Rasa Chinese community and has also participated in the Chinese localization of TensorFlow documents as a technical reviewer.
Read more
See other products by Xiaoquan Kong
Profile icon Guan Wang
LinkedIn
Guan is currently working on Al applications and research for the insurance industry. Prior to that, he was a machine learning researcher at several industry Al labs. He was raised and educated in Mainland China, lived in Hong Kong for 10 years before relocating to Singapore in 2020. Guan holds BSc degrees in Physics and Computer Science from Peking University, and an MPhil degree in Physics from HKUST. Guan is an active tech blogger and community contributor to open source projects including Rasa, receiving more than10,000 stars for his own projects on Github.
Read more
See other products by Guan Wang
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