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Python Natural Language Processing Cookbook

You're reading from   Python Natural Language Processing Cookbook Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838987312
Length 284 pages
Edition 1st Edition
Languages
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Author (1):
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Zhenya Antić Zhenya Antić
Author Profile Icon Zhenya Antić
Zhenya Antić
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Toc

Table of Contents (10) Chapters Close

Preface 1. Chapter 1: Learning NLP Basics 2. Chapter 2: Playing with Grammar FREE CHAPTER 3. Chapter 3: Representing Text – Capturing Semantics 4. Chapter 4: Classifying Texts 5. Chapter 5: Getting Started with Information Extraction 6. Chapter 6: Topic Modeling 7. Chapter 7: Building Chatbots 8. Chapter 8: Visualizing Text Data 9. Other Books You May Enjoy

Creating question-answer pairs with Rasa

Now we will build on the simple chatbot that we built in the previous recipe and create new conversation pairs. Our bot will answer simple, frequently asked questions for a business, such as questions about hours, address, and so on.

Getting ready

We will continue using the bot we created in the previous recipe. Please follow the installation instructions specified there.

How to do it…

In order to create new question-answer pairs, we will modify the following files: domain.yml, nlu.yml, and rules.yml. The steps are as follows:

  1. Open the domain.yml file and in the section named intents, add an intent named hours. The section should now look like this:
    intents:
      - greet
      - goodbye
      - affirm
      - deny
      - mood_great
      - mood_unhappy
      - bot_challenge
      - hours
  2. Now we will create a new response for a question about hours. Edit the section...
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