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

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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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